diff --git a/dashboard.Dockerfile b/dashboard.Dockerfile
index 52bcb1b..4a898ee 100644
--- a/dashboard.Dockerfile
+++ b/dashboard.Dockerfile
@@ -7,8 +7,17 @@ WORKDIR /app/dashboard
 # Silence pip error to install in root dirs
 ENV PIP_ROOT_USER_ACTION=ignore
 
+# Spin assigns a random UID with no usable home directory. Pre-create
+# ~/.amsc as world-writable+sticky so the runtime UID can write to it.
+RUN mkdir -p /app/dashboard/.amsc && chmod 1777 /app/dashboard/.amsc
+
 # Install any needed packages specified in the environment file
 COPY dashboard/environment-lock.yml /app/dashboard/environment-lock.yml
+
+# The lock file installs amsc-client from this local source URL. Pass it with:
+#   --build-context amsc-client-src=/path/to/amsc-python-client
+COPY --from=amsc-client-src / /home/edoardo/src/amsc-python-client
+
 RUN conda install -c conda-forge conda-lock \
     && conda-lock install --name synapse-gui environment-lock.yml \
     && conda clean --all -y
diff --git a/dashboard/README.md b/dashboard/README.md
index 870bb16..c045c16 100644
--- a/dashboard/README.md
+++ b/dashboard/README.md
@@ -155,6 +155,8 @@ Following the instructions at [docs.nersc.gov/services/sfapi/authentication/#cli
 > ```bash
 > python publish_container.py --gui
 > ```
+> By default this expects the locally patched `amsc-python-client` checkout at `../amsc-python-client`.
+> If it lives elsewhere, set `AMSC_CLIENT_SRC=/path/to/amsc-python-client`.
 
 > [!TIP]
 > Prune old, unused images periodically in order to free up space on your machine:
@@ -168,7 +170,8 @@ Following the instructions at [docs.nersc.gov/services/sfapi/authentication/#cli
 
 2. Build the Docker image:
    ```bash
-   docker build --platform linux/amd64 --output type=image,oci-mediatypes=true -t synapse-gui -f dashboard.Dockerfile .
+   docker build --platform linux/amd64 --output type=image,oci-mediatypes=true -t synapse-gui -f dashboard.Dockerfile \
+     --build-context amsc-client-src="${AMSC_CLIENT_SRC:-../amsc-python-client}" .
    ```
 
 ### Push the Docker container
diff --git a/dashboard/app.py b/dashboard/app.py
index d72c317..a6bbbc9 100644
--- a/dashboard/app.py
+++ b/dashboard/app.py
@@ -17,7 +17,7 @@
 from optimization_manager import OptimizationManager
 from parameters_manager import ParametersManager
 from calibration_manager import SimulationCalibrationManager
-from sfapi_manager import load_sfapi_card
+from hpc_manager import load_hpc_card
 from state_manager import server, state, ctrl, initialize_state
 from error_manager import error_panel, add_error
 from utils import (
@@ -54,8 +54,9 @@ def update(
     reset_parameters=True,
     reset_calibration=True,
     reset_plots=True,
+    reset_execution_modes=True,
     reset_gui_route_home=True,
-    reset_gui_route_nersc=True,
+    reset_gui_route_hpc=True,
     reset_gui_route_chat=True,
     reset_gui_layout=True,
     preloaded_model_manager=None,
@@ -73,9 +74,11 @@ def update(
     )
     # load data
     config_dict = load_config_dict(state.experiment)
-    # derive execution mode from execution_mode in the experiment configuration file
-    execution_mode = config_dict.get("execution_mode") or {}
-    state.model_training_mode = execution_mode.get("ml_training", "local")
+    if reset_execution_modes:
+        # Derive execution mode defaults from the experiment configuration file.
+        execution_mode = config_dict.get("execution_mode") or {}
+        state.model_training_mode = execution_mode.get("ml_training", "local")
+        state.simulation_running_mode = execution_mode.get("simulation", "local")
     state.model_mlflow_tracking_uri = (config_dict.get("mlflow") or {}).get(
         "tracking_uri"
     )
@@ -98,7 +101,10 @@ def update(
         else:
             mod_manager = preloaded_model_manager
         state.model_available = mod_manager.avail()
-        opt_manager = OptimizationManager(mod_manager)
+        if opt_manager is None or reset_gui_route_home:
+            opt_manager = OptimizationManager(mod_manager)
+        else:
+            opt_manager.model = mod_manager
     # reset parameters
     if reset_parameters:
         par_manager = ParametersManager(mod_manager, input_variables)
@@ -108,9 +114,9 @@ def update(
     # reset GUI home route
     if reset_gui_route_home:
         home_route()
-    # reset GUI NERSC route
-    if reset_gui_route_nersc:
-        nersc_route()
+    # reset GUI HPC route
+    if reset_gui_route_hpc:
+        hpc_route()
     # reset GUI chat route
     if reset_gui_route_chat:
         chat_route()
@@ -221,8 +227,9 @@ def reset(**kwargs):
                 reset_parameters=True,
                 reset_calibration=True,
                 reset_plots=True,
+                reset_execution_modes="experiment" in state.modified_keys,
                 reset_gui_route_home=True,
-                reset_gui_route_nersc=False,
+                reset_gui_route_hpc=False,
                 reset_gui_route_chat=False,
                 reset_gui_layout=False,
             )
@@ -239,8 +246,9 @@ def reset(**kwargs):
                 reset_parameters=False,
                 reset_calibration=False,
                 reset_plots=True,
-                reset_gui_route_home=True,
-                reset_gui_route_nersc=False,
+                reset_execution_modes=False,
+                reset_gui_route_home=False,
+                reset_gui_route_hpc=False,
                 reset_gui_route_chat=False,
                 reset_gui_layout=False,
             )
@@ -263,8 +271,9 @@ def reset(**kwargs):
                 reset_parameters=False,
                 reset_calibration=False,
                 reset_plots=True,
+                reset_execution_modes=False,
                 reset_gui_route_home=False,
-                reset_gui_route_nersc=False,
+                reset_gui_route_hpc=False,
                 reset_gui_route_chat=False,
                 reset_gui_layout=False,
             )
@@ -433,16 +442,16 @@ def home_route():
                             ctrl.figure_update = figure.update
 
 
-# NERSC route
-def nersc_route():
-    print("Setting GUI NERSC route...")
-    with RouterViewLayout(server, "/nersc"):
+# HPC route
+def hpc_route():
+    print("Setting GUI HPC route...")
+    with RouterViewLayout(server, "/hpc"):
         with vuetify.VRow():
-            with vuetify.VCol(cols=4):
-                # Superfacility API card
+            with vuetify.VCol(cols=12):
+                # Render both API credential cards
                 with vuetify.VRow():
                     with vuetify.VCol():
-                        load_sfapi_card()
+                        load_hpc_card()
 
 
 # Chat route
@@ -506,11 +515,11 @@ def gui_setup():
                     prepend_icon="mdi-chat",
                     title="AI Assistant",
                 )
-                # NERSC route
+                # HPC route
                 vuetify.VListItem(
-                    to="/nersc",
+                    to="/hpc",
                     prepend_icon="mdi-lan-connect",
-                    title="NERSC API key",
+                    title="HPC Connection",
                 )
         # interactive dialog for simulation plots
         with vuetify.VDialog(
diff --git a/dashboard/entrypoint.sh b/dashboard/entrypoint.sh
index 75ec844..235bf56 100755
--- a/dashboard/entrypoint.sh
+++ b/dashboard/entrypoint.sh
@@ -4,5 +4,13 @@
 source /opt/conda/etc/profile.d/conda.sh
 conda activate synapse-gui
 
+# Give dashboard libraries that rely on Path.home() a stable home in Spin.
+export HOME=/app/dashboard
+
+# amsc-client's default Globus token cache is ~/.amsc/credentials.json.
+# Ensure the directory exists at runtime; the Dockerfile created it as
+# mode 1777 so the random UID Spin assigns can write into it.
+mkdir -p "${HOME}/.amsc" 2>/dev/null || true
+
 # Execute the provided command
 exec "$@"
diff --git a/dashboard/environment-lock.yml b/dashboard/environment-lock.yml
index dd8bda6..c1fff13 100644
--- a/dashboard/environment-lock.yml
+++ b/dashboard/environment-lock.yml
@@ -2,7 +2,7 @@
 #
 # A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
 # e.g. `conda env create`, the resulting environment will not change as new package versions become
-# available, unless you explicitly update the lock file.
+# available, unless you explicitly update the lock file
 #
 # Install this environment as "YOURENV" with:
 #     conda-lock install -n YOURENV environment-lock.yml
@@ -13,10 +13,10 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: a2fed7d577b1f8dcea6bda93e25a02b5fa61145b9779bb01476554f8c7c4af19
-    osx-arm64: 60e87eb1df36ed3e811a6b4eb6c26639d472750f97bafe76c9ef8023c4f12ec8
-    osx-64: cad060e1ca3f48f1346fa18cf66f17fd06fd03138486e7aff463e63ab152a829
-    win-64: 97423ceba8693b2be03dd400493ecb8e7523da65ad879c2e5b3a37f67694bcee
+    linux-64: 3b0accff6016bd2fdcf1e93a16e09dc29597ba987758bfbdbc1fe5fa812ee89d
+    osx-arm64: 7953bdf12b7ba553d9177eeba5c47b29ca54e183bbefad319861fc1333666aa3
+    osx-64: c69a72b9085a0b2971dd6ca48edafa9e72aadf6db8809a930962ea5c4ee0f390
+    win-64: f4f164307b7b81c9918c27af5018b5c61fcebdefda7c29a5279edf58301e8e58
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -72,11 +72,11 @@ package:
   platform: win-64
   dependencies:
     libgomp: '>=7.5.0'
-    libwinpthread: '>=12.0.0.r2.ggc561118da'
-  url: https://conda.anaconda.org/conda-forge/win-64/_openmp_mutex-4.5-2_gnu.conda
+    libwinpthread: '>=12.0.0.r4.gg4f2fc60ca'
+  url: https://conda.anaconda.org/conda-forge/win-64/_openmp_mutex-4.5-20_gnu.conda
   hash:
-    md5: 37e16618af5c4851a3f3d66dd0e11141
-    sha256: 1a62cd1f215fe0902e7004089693a78347a30ad687781dfda2289cab000e652d
+    md5: 1626967b574d1784b578b52eaeb071e7
+    sha256: 8a1cee28bd0ee7451ada1cd50b64720e57e17ff994fc62dd8329bef570d382e4
   category: main
   optional: false
 - name: aiohappyeyeballs
@@ -128,7 +128,7 @@ package:
   category: main
   optional: false
 - name: aiohttp
-  version: 3.13.3
+  version: 3.13.5
   manager: conda
   platform: linux-64
   dependencies:
@@ -143,18 +143,18 @@ package:
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
     yarl: '>=1.17.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.3-py311h55b9665_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.13.5-py311h55b9665_0.conda
   hash:
-    md5: 13edfe8c425132c74b038144f603d6d3
-    sha256: 6ba089f4030fdf139acae5fbf6d20907c53f8506110ec9ab242dcf6efa18f267
+    md5: 0fdb7435f551898c33b0017423e4fb53
+    sha256: 08ca6a6c936708a188e3f86c29c678e8ea7ec1114a5346fee4cd80a0a3ded3d7
   category: main
   optional: false
 - name: aiohttp
-  version: 3.13.3
+  version: 3.13.5
   manager: conda
   platform: osx-64
   dependencies:
-    __osx: '>=10.13'
+    __osx: '>=11.0'
     aiohappyeyeballs: '>=2.5.0'
     aiosignal: '>=1.4.0'
     attrs: '>=17.3.0'
@@ -164,14 +164,14 @@ package:
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     yarl: '>=1.17.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.3-py312h80cd6c1_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.13.5-py312h0b1c2f0_0.conda
   hash:
-    md5: 1d67d1baba2a1917f1cd6519029a3fbf
-    sha256: 7703f430156a933756c57afab320aaa8d30639e8f9f899628a3eb5fbfa9b685b
+    md5: 88eef704008ae051b5a8c54119eab94e
+    sha256: feec9338ff6d56c28c06ec8176b90019d545d902c45132a218ca2320133f5538
   category: main
   optional: false
 - name: aiohttp
-  version: 3.13.3
+  version: 3.13.5
   manager: conda
   platform: osx-arm64
   dependencies:
@@ -185,14 +185,14 @@ package:
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     yarl: '>=1.17.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.13.3-py312h9f8c436_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.13.5-py312h9f8c436_0.conda
   hash:
-    md5: 18c1c68638daa92ca6a8fb36f6d92691
-    sha256: 7b6668363c0ae7060e57d48da8ace94a885b428ae8ae2fbd357f004cb281eef5
+    md5: 99fe4bfba47fd1304c087922a3d0e0f8
+    sha256: 11b13962c9c9a4edc831876f448a908ca6b62cf3f71bd5f0f33387f4d8a7955c
   category: main
   optional: false
 - name: aiohttp
-  version: 3.13.3
+  version: 3.13.5
   manager: conda
   platform: win-64
   dependencies:
@@ -208,10 +208,10 @@ package:
     vc: '>=14.3,<15'
     vc14_runtime: '>=14.44.35208'
     yarl: '>=1.17.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/win-64/aiohttp-3.13.3-py312h6b91d65_0.conda
+  url: https://conda.anaconda.org/conda-forge/win-64/aiohttp-3.13.5-py312h6b91d65_0.conda
   hash:
-    md5: 65ebd46fdc1e28a6b035935246bd6531
-    sha256: ef7eb9709f46d1d1138c9d667a72a9b2c1907a83daa54e63e6d7b7fb7043f331
+    md5: f5474e6e952ff964319851b1c68b7301
+    sha256: 539e8fba2b4835ee4437fa8b51056be2cf033ac4155f64a19e87855c2ae2af94
   category: main
   optional: false
 - name: aiosignal
@@ -271,7 +271,7 @@ package:
   category: main
   optional: false
 - name: alembic
-  version: 1.18.3
+  version: 1.18.4
   manager: conda
   platform: linux-64
   dependencies:
@@ -280,14 +280,14 @@ package:
     sqlalchemy: '>=1.4.23'
     tomli: ''
     typing_extensions: '>=4.12'
-  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.3-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
   hash:
-    md5: dbaea800eaa5d850b32fa2b90ebf4686
-    sha256: 176737b35cf13359c2ffbcb506058dcad90f28a031ac549315c65de7140f0f03
+    md5: c45fa7cf996b766cb63eadf3c3e6408a
+    sha256: 83fc576dbcd59427f55be9623e1b101a1607ed9b4dc8633d86ada30c6ec1cf1d
   category: main
   optional: false
 - name: alembic
-  version: 1.18.3
+  version: 1.18.4
   manager: conda
   platform: osx-64
   dependencies:
@@ -296,14 +296,14 @@ package:
     sqlalchemy: '>=1.4.23'
     tomli: ''
     typing_extensions: '>=4.12'
-  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.3-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
   hash:
-    md5: dbaea800eaa5d850b32fa2b90ebf4686
-    sha256: 176737b35cf13359c2ffbcb506058dcad90f28a031ac549315c65de7140f0f03
+    md5: c45fa7cf996b766cb63eadf3c3e6408a
+    sha256: 83fc576dbcd59427f55be9623e1b101a1607ed9b4dc8633d86ada30c6ec1cf1d
   category: main
   optional: false
 - name: alembic
-  version: 1.18.3
+  version: 1.18.4
   manager: conda
   platform: osx-arm64
   dependencies:
@@ -312,14 +312,14 @@ package:
     sqlalchemy: '>=1.4.23'
     tomli: ''
     typing_extensions: '>=4.12'
-  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.3-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
   hash:
-    md5: dbaea800eaa5d850b32fa2b90ebf4686
-    sha256: 176737b35cf13359c2ffbcb506058dcad90f28a031ac549315c65de7140f0f03
+    md5: c45fa7cf996b766cb63eadf3c3e6408a
+    sha256: 83fc576dbcd59427f55be9623e1b101a1607ed9b4dc8633d86ada30c6ec1cf1d
   category: main
   optional: false
 - name: alembic
-  version: 1.18.3
+  version: 1.18.4
   manager: conda
   platform: win-64
   dependencies:
@@ -328,10 +328,10 @@ package:
     sqlalchemy: '>=1.4.23'
     tomli: ''
     typing_extensions: '>=4.12'
-  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.3-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/alembic-1.18.4-pyhcf101f3_0.conda
   hash:
-    md5: dbaea800eaa5d850b32fa2b90ebf4686
-    sha256: 176737b35cf13359c2ffbcb506058dcad90f28a031ac549315c65de7140f0f03
+    md5: c45fa7cf996b766cb63eadf3c3e6408a
+    sha256: 83fc576dbcd59427f55be9623e1b101a1607ed9b4dc8633d86ada30c6ec1cf1d
   category: main
   optional: false
 - name: annotated-doc
@@ -435,7 +435,7 @@ package:
   category: main
   optional: false
 - name: anyio
-  version: 4.12.1
+  version: 4.13.0
   manager: conda
   platform: linux-64
   dependencies:
@@ -443,14 +443,14 @@ package:
     idna: '>=2.8'
     python: ''
     typing_extensions: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.13.0-pyhcf101f3_0.conda
   hash:
-    md5: 11a2b8c732d215d977998ccd69a9d5e8
-    sha256: eb0c4e2b24f1fbefaf96ce6c992c6bd64340bc3c06add4d7415ab69222b201da
+    md5: af2df4b9108808da3dc76710fe50eae2
+    sha256: f09aed24661cd45ba54a43772504f05c0698248734f9ae8cd289d314ac89707e
   category: main
   optional: false
 - name: anyio
-  version: 4.12.1
+  version: 4.13.0
   manager: conda
   platform: osx-64
   dependencies:
@@ -458,14 +458,14 @@ package:
     idna: '>=2.8'
     python: '>=3.10'
     typing_extensions: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.13.0-pyhcf101f3_0.conda
   hash:
-    md5: 11a2b8c732d215d977998ccd69a9d5e8
-    sha256: eb0c4e2b24f1fbefaf96ce6c992c6bd64340bc3c06add4d7415ab69222b201da
+    md5: af2df4b9108808da3dc76710fe50eae2
+    sha256: f09aed24661cd45ba54a43772504f05c0698248734f9ae8cd289d314ac89707e
   category: main
   optional: false
 - name: anyio
-  version: 4.12.1
+  version: 4.13.0
   manager: conda
   platform: osx-arm64
   dependencies:
@@ -473,14 +473,14 @@ package:
     idna: '>=2.8'
     python: '>=3.10'
     typing_extensions: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.13.0-pyhcf101f3_0.conda
   hash:
-    md5: 11a2b8c732d215d977998ccd69a9d5e8
-    sha256: eb0c4e2b24f1fbefaf96ce6c992c6bd64340bc3c06add4d7415ab69222b201da
+    md5: af2df4b9108808da3dc76710fe50eae2
+    sha256: f09aed24661cd45ba54a43772504f05c0698248734f9ae8cd289d314ac89707e
   category: main
   optional: false
 - name: anyio
-  version: 4.12.1
+  version: 4.13.0
   manager: conda
   platform: win-64
   dependencies:
@@ -488,129 +488,129 @@ package:
     idna: '>=2.8'
     python: '>=3.10'
     typing_extensions: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.12.1-pyhcf101f3_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.13.0-pyhcf101f3_0.conda
   hash:
-    md5: 11a2b8c732d215d977998ccd69a9d5e8
-    sha256: eb0c4e2b24f1fbefaf96ce6c992c6bd64340bc3c06add4d7415ab69222b201da
+    md5: af2df4b9108808da3dc76710fe50eae2
+    sha256: f09aed24661cd45ba54a43772504f05c0698248734f9ae8cd289d314ac89707e
   category: main
   optional: false
 - name: attrs
-  version: 25.4.0
+  version: 26.1.0
   manager: conda
   platform: linux-64
   dependencies:
     python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/attrs-25.4.0-pyhcf101f3_1.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-26.1.0-pyhcf101f3_0.conda
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+  url: https://gitlab.com/api/v4/projects/80654726/packages/pypi/files/c15433e5c3730d880f61d39f359a886c890a020c4f8388caf3659724225d2d91/iri_api_autogen-0.1.2-py3-none-any.whl
+  hash:
+    sha256: c15433e5c3730d880f61d39f359a886c890a020c4f8388caf3659724225d2d91
+  category: main
+  optional: false
+- name: iri-api-autogen
+  version: 0.1.2
+  manager: pip
+  platform: osx-arm64
+  dependencies:
+    attrs: '>=22.2.0'
+    httpx: '>=0.23.0,<0.29.0'
+    python-dateutil: '>=2.8.0,<3.0.0'
+  url: https://gitlab.com/api/v4/projects/80654726/packages/pypi/files/c15433e5c3730d880f61d39f359a886c890a020c4f8388caf3659724225d2d91/iri_api_autogen-0.1.2-py3-none-any.whl
+  hash:
+    sha256: c15433e5c3730d880f61d39f359a886c890a020c4f8388caf3659724225d2d91
+  category: main
+  optional: false
+- name: iri-api-autogen
+  version: 0.1.2
+  manager: pip
+  platform: win-64
+  dependencies:
+    attrs: '>=22.2.0'
+    httpx: '>=0.23.0,<0.29.0'
+    python-dateutil: '>=2.8.0,<3.0.0'
+  url: https://gitlab.com/api/v4/projects/80654726/packages/pypi/files/c15433e5c3730d880f61d39f359a886c890a020c4f8388caf3659724225d2d91/iri_api_autogen-0.1.2-py3-none-any.whl
+  hash:
+    sha256: c15433e5c3730d880f61d39f359a886c890a020c4f8388caf3659724225d2d91
+  category: main
+  optional: false
+- name: joserfc
+  version: 1.6.4
+  manager: pip
+  platform: linux-64
+  dependencies:
+    cryptography: '>=45.0.1'
+  url: https://files.pythonhosted.org/packages/b6/f7/210b27752e972edb36d239315b08d3eb6b14824cc4a590da2337d195260b/joserfc-1.6.4-py3-none-any.whl
+  hash:
+    sha256: 3e4a22b509b41908989237a045e25c8308d5fd47ab96bdae2dd8057c6451003a
+  category: main
+  optional: false
+- name: joserfc
+  version: 1.6.4
+  manager: pip
+  platform: osx-64
+  dependencies:
+    cryptography: '>=45.0.1'
+  url: https://files.pythonhosted.org/packages/b6/f7/210b27752e972edb36d239315b08d3eb6b14824cc4a590da2337d195260b/joserfc-1.6.4-py3-none-any.whl
+  hash:
+    sha256: 3e4a22b509b41908989237a045e25c8308d5fd47ab96bdae2dd8057c6451003a
+  category: main
+  optional: false
+- name: joserfc
+  version: 1.6.4
+  manager: pip
+  platform: osx-arm64
+  dependencies:
+    cryptography: '>=45.0.1'
+  url: https://files.pythonhosted.org/packages/b6/f7/210b27752e972edb36d239315b08d3eb6b14824cc4a590da2337d195260b/joserfc-1.6.4-py3-none-any.whl
+  hash:
+    sha256: 3e4a22b509b41908989237a045e25c8308d5fd47ab96bdae2dd8057c6451003a
+  category: main
+  optional: false
+- name: joserfc
+  version: 1.6.4
+  manager: pip
+  platform: win-64
+  dependencies:
+    cryptography: '>=45.0.1'
+  url: https://files.pythonhosted.org/packages/b6/f7/210b27752e972edb36d239315b08d3eb6b14824cc4a590da2337d195260b/joserfc-1.6.4-py3-none-any.whl
+  hash:
+    sha256: 3e4a22b509b41908989237a045e25c8308d5fd47ab96bdae2dd8057c6451003a
+  category: main
+  optional: false
+- name: pyjwt
+  version: 2.12.1
+  manager: pip
+  platform: linux-64
+  dependencies:
+    cryptography: '>=3.4.0'
+  url: https://files.pythonhosted.org/packages/e5/7a/8dd906bd22e79e47397a61742927f6747fe93242ef86645ee9092e610244/pyjwt-2.12.1-py3-none-any.whl
+  hash:
+    sha256: 28ca37c070cad8ba8cd9790cd940535d40274d22f80ab87f3ac6a713e6e8454c
+  category: main
+  optional: false
+- name: pyjwt
+  version: 2.12.1
+  manager: pip
+  platform: osx-64
+  dependencies:
+    cryptography: '>=3.4.0'
+  url: https://files.pythonhosted.org/packages/e5/7a/8dd906bd22e79e47397a61742927f6747fe93242ef86645ee9092e610244/pyjwt-2.12.1-py3-none-any.whl
+  hash:
+    sha256: 28ca37c070cad8ba8cd9790cd940535d40274d22f80ab87f3ac6a713e6e8454c
+  category: main
+  optional: false
+- name: pyjwt
+  version: 2.12.1
+  manager: pip
+  platform: osx-arm64
+  dependencies:
+    cryptography: '>=3.4.0'
+  url: https://files.pythonhosted.org/packages/e5/7a/8dd906bd22e79e47397a61742927f6747fe93242ef86645ee9092e610244/pyjwt-2.12.1-py3-none-any.whl
+  hash:
+    sha256: 28ca37c070cad8ba8cd9790cd940535d40274d22f80ab87f3ac6a713e6e8454c
+  category: main
+  optional: false
+- name: pyjwt
+  version: 2.12.1
+  manager: pip
+  platform: win-64
+  dependencies:
+    cryptography: '>=3.4.0'
+  url: https://files.pythonhosted.org/packages/e5/7a/8dd906bd22e79e47397a61742927f6747fe93242ef86645ee9092e610244/pyjwt-2.12.1-py3-none-any.whl
   hash:
-    sha256: 7d9e9bc535c13974313a87f53e8430eb6ea3d1cf6ae4f6efcd793f2e949143fd
+    sha256: 28ca37c070cad8ba8cd9790cd940535d40274d22f80ab87f3ac6a713e6e8454c
   category: main
   optional: false
 - name: sfapi-client
@@ -18004,42 +18500,42 @@ package:
   category: main
   optional: false
 - name: tenacity
-  version: 9.1.2
+  version: 9.1.4
   manager: pip
   platform: linux-64
   dependencies: {}
-  url: https://files.pythonhosted.org/packages/e5/30/643397144bfbfec6f6ef821f36f33e57d35946c44a2352d3c9f0ae847619/tenacity-9.1.2-py3-none-any.whl
+  url: https://files.pythonhosted.org/packages/d7/c1/eb8f9debc45d3b7918a32ab756658a0904732f75e555402972246b0b8e71/tenacity-9.1.4-py3-none-any.whl
   hash:
-    sha256: f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138
+    sha256: 6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55
   category: main
   optional: false
 - name: tenacity
-  version: 9.1.2
+  version: 9.1.4
   manager: pip
   platform: osx-64
   dependencies: {}
-  url: https://files.pythonhosted.org/packages/e5/30/643397144bfbfec6f6ef821f36f33e57d35946c44a2352d3c9f0ae847619/tenacity-9.1.2-py3-none-any.whl
+  url: https://files.pythonhosted.org/packages/d7/c1/eb8f9debc45d3b7918a32ab756658a0904732f75e555402972246b0b8e71/tenacity-9.1.4-py3-none-any.whl
   hash:
-    sha256: f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138
+    sha256: 6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55
   category: main
   optional: false
 - name: tenacity
-  version: 9.1.2
+  version: 9.1.4
   manager: pip
   platform: osx-arm64
   dependencies: {}
-  url: https://files.pythonhosted.org/packages/e5/30/643397144bfbfec6f6ef821f36f33e57d35946c44a2352d3c9f0ae847619/tenacity-9.1.2-py3-none-any.whl
+  url: https://files.pythonhosted.org/packages/d7/c1/eb8f9debc45d3b7918a32ab756658a0904732f75e555402972246b0b8e71/tenacity-9.1.4-py3-none-any.whl
   hash:
-    sha256: f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138
+    sha256: 6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55
   category: main
   optional: false
 - name: tenacity
-  version: 9.1.2
+  version: 9.1.4
   manager: pip
   platform: win-64
   dependencies: {}
-  url: https://files.pythonhosted.org/packages/e5/30/643397144bfbfec6f6ef821f36f33e57d35946c44a2352d3c9f0ae847619/tenacity-9.1.2-py3-none-any.whl
+  url: https://files.pythonhosted.org/packages/d7/c1/eb8f9debc45d3b7918a32ab756658a0904732f75e555402972246b0b8e71/tenacity-9.1.4-py3-none-any.whl
   hash:
-    sha256: f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138
+    sha256: 6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55
   category: main
   optional: false
diff --git a/dashboard/environment.yml b/dashboard/environment.yml
index 099d673..6a4739d 100644
--- a/dashboard/environment.yml
+++ b/dashboard/environment.yml
@@ -5,6 +5,10 @@ channels:
   - pytorch
   - nodefaults
 
+pip-repositories:
+  - https://gitlab.com/api/v4/projects/76368190/packages/pypi/simple
+  - https://gitlab.com/api/v4/projects/80654726/packages/pypi/simple
+
 dependencies:
   - botorch
   - cpuonly
@@ -25,3 +29,4 @@ dependencies:
   - trame-vuetify
   - pip:
     - sfapi_client
+    - "amsc-client[globus] @ file:///home/edoardo/src/amsc-python-client"
diff --git a/dashboard/error_manager.py b/dashboard/error_manager.py
index e59d5aa..140d6b1 100644
--- a/dashboard/error_manager.py
+++ b/dashboard/error_manager.py
@@ -5,9 +5,9 @@
 def add_error(title, msg):
     if state.errors is None:
         # Outside of a Trame app (e.g. check_model.py), raise a Python error
-        # to surface the error to the caller.
+        # to surface the error to the caller
         raise RuntimeError(f"{title}: {msg}")
-    # Otherwise: Inside a Trame app, add the error to the state.
+    # Otherwise: Inside a Trame app, add the error to the state
     state.errors.append(
         {
             "id": state.error_counter,
diff --git a/dashboard/execution_mode_manager.py b/dashboard/execution_mode_manager.py
new file mode 100644
index 0000000..5d9192e
--- /dev/null
+++ b/dashboard/execution_mode_manager.py
@@ -0,0 +1,36 @@
+from state_manager import state
+
+
+# Mapping from internal execution mode values to display labels
+EXECUTION_MODE_LABELS = {
+    "local": "Local",
+    "iriapi": "AmSC IRI API",
+    "sfapi": "NERSC Superfacility API",
+}
+EXECUTION_MODE_ITEMS = [
+    {"title": label, "value": mode} for mode, label in EXECUTION_MODE_LABELS.items()
+]
+
+
+def remote_backend_unavailable_expr(mode_state):
+    return (
+        f"(({mode_state} === 'sfapi' && sfapi_perlmutter_status !== 'active') || "
+        f"({mode_state} === 'iriapi' && iriapi_perlmutter_status !== 'up'))"
+    )
+
+
+def _log_mode_change(state_key, description):
+    if len(state.modified_keys) == 1:
+        value = state[state_key]
+        label = EXECUTION_MODE_LABELS.get(value) or value
+        print(f"{description} execution mode changed to {label}")
+
+
+@state.change("simulation_running_mode")
+def log_simulation_running_mode(**kwargs):
+    _log_mode_change("simulation_running_mode", "Simulation")
+
+
+@state.change("model_training_mode")
+def log_model_training_mode(**kwargs):
+    _log_mode_change("model_training_mode", "ML training")
diff --git a/dashboard/hpc_manager.py b/dashboard/hpc_manager.py
new file mode 100644
index 0000000..ad1b311
--- /dev/null
+++ b/dashboard/hpc_manager.py
@@ -0,0 +1,19 @@
+from trame.widgets import vuetify3 as vuetify
+
+from iriapi_manager import load_iriapi_card
+from sfapi_manager import load_sfapi_card
+
+
+def load_hpc_card():
+    print("Setting HPC card...")
+    with vuetify.VRow():
+        with vuetify.VCol(cols=12, md=6):
+            with vuetify.VCard():
+                vuetify.VCardTitle("NERSC Superfacility API")
+                with vuetify.VCardText():
+                    load_sfapi_card()
+        with vuetify.VCol(cols=12, md=6):
+            with vuetify.VCard():
+                vuetify.VCardTitle("AmSC IRI API")
+                with vuetify.VCardText():
+                    load_iriapi_card()
diff --git a/dashboard/iriapi_manager.py b/dashboard/iriapi_manager.py
new file mode 100644
index 0000000..ca1ea93
--- /dev/null
+++ b/dashboard/iriapi_manager.py
@@ -0,0 +1,173 @@
+import asyncio
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+
+from amsc_client import Client
+from trame.widgets import vuetify3 as vuetify
+
+from error_manager import add_error
+from state_manager import state
+
+
+IRIAPI_CREDENTIALS_PATH = Path.home() / ".amsc" / "credentials.json"
+
+
+def get_uploaded_iriapi_credentials():
+    content = state.iriapi_key_dict["content"]
+    if isinstance(content, dict):
+        return content
+
+    if isinstance(content, (bytes, bytearray)):
+        content = bytes(content).decode("utf-8")
+
+    return json.loads(content)
+
+
+def write_iriapi_credentials(credentials):
+    IRIAPI_CREDENTIALS_PATH.parent.mkdir(parents=True, exist_ok=True)
+    IRIAPI_CREDENTIALS_PATH.write_text(
+        json.dumps(credentials, indent=2) + "\n",
+        encoding="utf-8",
+    )
+    IRIAPI_CREDENTIALS_PATH.chmod(0o600)
+    print(f"Wrote AmSC IRI API credentials to {IRIAPI_CREDENTIALS_PATH}")
+
+
+def parse_iriapi_credentials(credentials):
+    if not isinstance(credentials, dict) or len(credentials) != 1:
+        raise ValueError(
+            "Uploaded AmSC IRI API credentials must contain one Globus token entry"
+        )
+
+    globus_key, credentials = next(iter(credentials.items()))
+    if not globus_key.startswith("globus_") or not isinstance(credentials, dict):
+        raise ValueError(
+            "Uploaded AmSC IRI API credentials must contain one globus_* token entry"
+        )
+
+    required_keys = {"access_token", "expires_at"}
+    if not required_keys <= credentials.keys():
+        raise ValueError(
+            "Uploaded AmSC IRI API credentials are missing required token fields"
+        )
+
+    access_token = credentials["access_token"]
+    if isinstance(access_token, (bytes, bytearray)):
+        access_token = bytes(access_token).decode("utf-8")
+
+    return str(access_token).strip(), float(credentials["expires_at"])
+
+
+async def monitor_iriapi_job(iriapi_job, state_variable):
+    while not iriapi_job.is_terminal:
+        await asyncio.sleep(5)
+        # Refresh in a worker thread because the IRI client call is synchronous
+        await asyncio.to_thread(iriapi_job.refresh)
+        # Make the status more readable by putting in spaces and capitalizing the words
+        job_status = iriapi_job.state.replace("_", " ").title()
+        if state[state_variable] != job_status:
+            state[state_variable] = job_status
+            state.flush()
+            print("Job status: ", state[state_variable])
+    return iriapi_job.state == "completed"
+
+
+def update_iriapi_info():
+    print("Updating AmSC IRI API info...")
+    try:
+        # Store the access token from the uploaded file in the corresponding state variable
+        credentials = get_uploaded_iriapi_credentials()
+        state.iriapi_key, expires_at = parse_iriapi_credentials(credentials)
+        write_iriapi_credentials(credentials)
+        # (see https://docs.python.org/3/library/datetime.html#format-codes
+        # for all format codes accepted by the methods strftime and strptime)
+        user_format = "%B %d, %Y, %H:%M %Z"
+        # Parse token expiration date from Unix timestamp
+        expiration_utc = datetime.fromtimestamp(
+            expires_at,
+            tz=timezone.utc,
+        )
+        expiration = expiration_utc.astimezone(
+            timezone(expiration_utc.astimezone().utcoffset())
+        )
+        # If token is not expired, update info, else set to expired/unavailable
+        if expiration_utc > datetime.now(timezone.utc):
+            # Update token expiration date
+            state.iriapi_key_expiration = (
+                f"Valid Until {expiration.strftime(user_format)}"
+            )
+            # Create an authenticated client
+            client = Client(auth_method="globus")
+            # Ping Perlmutter so the UI reflects the current IRI resource status
+            nersc = client.facility("nersc")
+            perlmutter = nersc.resource("compute")
+            state.iriapi_perlmutter_description = f"{perlmutter.description}"
+            state.iriapi_perlmutter_status = f"{perlmutter.status}"
+            print(
+                f"Perlmutter status is '{state.iriapi_perlmutter_status}' with description '{state.iriapi_perlmutter_description}'"
+            )
+        else:
+            # Reset token expiration date
+            state.iriapi_key_expiration = (
+                f"Expired On {expiration.strftime(user_format)}"
+            )
+            # Reset Perlmutter status
+            state.iriapi_perlmutter_description = "Unavailable"
+            state.iriapi_perlmutter_status = "unavailable"
+            title = "Unable to find a valid AmSC IRI API token"
+            msg = f"AmSC IRI API token expired on {expiration.strftime(user_format)}"
+            add_error(title, msg)
+            print(msg)
+    except Exception as e:
+        print(f"An unexpected error occurred when connecting to AmSC IRI API:\n{e}")
+        # Reset key expiration date
+        state.iriapi_key_expiration = "Unavailable"
+        # Reset Perlmutter status
+        state.iriapi_perlmutter_description = "Unavailable"
+        state.iriapi_perlmutter_status = "unavailable"
+        title = "Unable to connect to NERSC"
+        msg = f"Error occurred when connecting to NERSC through the AmSC IRI API: {e}"
+        add_error(title, msg)
+        print(msg)
+
+
+@state.change("iriapi_key_dict")
+def load_iriapi_credentials(**kwargs):
+    # Skip if triggered on server ready (all state variables marked as modified)
+    if len(state.modified_keys) == 1:
+        if state.iriapi_key_dict is not None:
+            print("Loading AmSC IRI API credentials...")
+            # Decode, persist, and immediately validate the uploaded token file
+            update_iriapi_info()
+
+
+def load_iriapi_card():
+    print("Setting AmSC IRI API card...")
+    # Row with component to upload input file with top padding
+    with vuetify.VRow(style="padding-top: 20px;"):
+        with vuetify.VCol():
+            vuetify.VFileInput(
+                v_model=("iriapi_key_dict",),
+                label="Token File",
+                accept=".json",
+                prepend_icon="",
+                prepend_inner_icon="mdi-paperclip",
+                __properties=["accept"],
+            )
+    # Row with text field to display key expiration date
+    with vuetify.VRow():
+        with vuetify.VCol():
+            vuetify.VTextField(
+                v_model=("iriapi_key_expiration",),
+                label="Token Expiration",
+                readonly=True,
+            )
+    # Row with text field to display Perlmutter status
+    with vuetify.VRow():
+        with vuetify.VCol():
+            vuetify.VTextField(
+                v_model=("iriapi_perlmutter_description",),
+                label="Perlmutter Status",
+                readonly=True,
+            )
diff --git a/dashboard/model_manager.py b/dashboard/model_manager.py
index b7fc08f..ca14587 100644
--- a/dashboard/model_manager.py
+++ b/dashboard/model_manager.py
@@ -1,24 +1,36 @@
 import asyncio
+from copy import deepcopy
 from contextlib import contextmanager
 from datetime import datetime
-from pathlib import Path
-import tempfile
 import os
-import yaml
 import re
+import shlex
+from pathlib import Path, PurePosixPath
+import tempfile
+
 import mlflow
+import yaml
+from amsc_client import Client
 import mlflow.store.artifact.artifact_repo as mlflow_artifact_repo
 import mlflow.store.artifact.cloud_artifact_repo as mlflow_cloud_artifact_repo
 import mlflow.utils.file_utils as mlflow_file_utils
 from mlflow.exceptions import MlflowException
 from trame.assets.local import LocalFileManager
+from iri_api_autogen.models import (
+    JobAttributes,
+    JobAttributesCustomAttributes,
+    JobSpec,
+    ResourceSpec,
+)
 from sfapi_client import AsyncClient
 from sfapi_client.compute import Machine
 from trame.widgets import vuetify3 as vuetify, html
 from utils import timer, load_config_dict, create_date_filter
 from calibration_manager import build_inferred_calibration
+from execution_mode_manager import EXECUTION_MODE_ITEMS, remote_backend_unavailable_expr
 from error_manager import add_error
 from sfapi_manager import monitor_sfapi_job
+from iriapi_manager import monitor_iriapi_job
 from state_manager import state
 
 LOGO_DIR = Path(__file__).parent / "logos"
@@ -27,11 +39,7 @@
 MODEL_TYPE_NN_SINGLE = "Neural Network (single)"
 MODEL_TYPE_NN_ENSEMBLE = "Neural Network (ensemble)"
 AMSC_LOGO_PATH = LOGO_DIR / "AmSC_300px.png"
-AMSC_LOGO_URL = (
-    LocalFileManager(LOGO_DIR).url("amsc_logo", AMSC_LOGO_PATH)
-    if AMSC_LOGO_PATH.is_file()
-    else None
-)
+AMSC_LOGO_URL = LocalFileManager(LOGO_DIR).url("amsc_logo", AMSC_LOGO_PATH)
 MODEL_DOWNLOAD_ACTIVE_EXPR = "model_downloading"
 AMSC_MLFLOW_LINK_ACTIVE_EXPR = (
     f"model_available && model_mlflow_tracking_uri === '{AMSC_MLFLOW_URL}'"
@@ -43,6 +51,7 @@
     f"model_type_verbose === '{MODEL_TYPE_NN_ENSEMBLE}' ? 'ensemble_NN' : "
     "model_type_verbose)"
 )
+_NO_PRELOADED_MODEL = object()
 
 model_type_dict = {
     MODEL_TYPE_GP: "GP",
@@ -51,7 +60,343 @@
 }
 
 
-_NO_PRELOADED_MODEL = object()
+SBATCH_SUBMIT_OPTION_MAP = {
+    "-J": "name",
+    "--job-name": "name",
+    "-q": "queue",
+    "--qos": "queue",
+    "-A": "account",
+    "--account": "account",
+    "-t": "duration",
+    "--time": "duration",
+    "-N": "nodes",
+    "--nodes": "nodes",
+    "-o": "stdout_path",
+    "--output": "stdout_path",
+    "-e": "stderr_path",
+    "--error": "stderr_path",
+    "-C": "constraint",
+    "--constraint": "constraint",
+    "--gpus-per-node": "gpus-per-node",
+    "--ntasks-per-node": "ntasks-per-node",
+}
+SBATCH_REQUIRED_SUBMIT_OPTIONS = set(SBATCH_SUBMIT_OPTION_MAP.values())
+IRI_TRAINING_LAUNCH_PREFIX = ("srun", "podman-hpc", "run")  # Container launch marker
+TRAINING_REMOTE_DIR = "/global/cfs/cdirs/m558/superfacility/model_training"
+TRAINING_CONFIG_REMOTE_PATH = f"{TRAINING_REMOTE_DIR}/config.yaml"
+TRAINING_CONFIG_CONTAINER_PATH = "/app/ml/config.yaml"
+TRAINING_CONFIG_MOUNT_RE = re.compile(
+    rf"(?P<prefix>(?:^|\s)-v\s+)"
+    rf"(?P<host_quote>[\"']?)"
+    rf"(?P<host>[^\"'\s:]+)"
+    rf"(?P=host_quote):"
+    rf"(?P<container_quote>[\"']?)"
+    rf"{re.escape(TRAINING_CONFIG_CONTAINER_PATH)}"
+    rf"(?P=container_quote)"
+    rf"(?=\s|\\|$)"
+)
+# Match model=$1 or model=${1}, with optional comment
+SCRIPT_MODEL_ARGUMENT_RE = re.compile(r"^model=\$\{?1\}?\s*(#.*)?$")
+# Capture shell assignments like REGISTRY_NAME=value, ignoring trailing comments
+SHELL_ASSIGNMENT_RE = re.compile(r"^([A-Za-z_][A-Za-z0-9_]*)=(.+?)(?:\s+#.*)?$")
+
+
+def line_starts_with_tokens(line, expected_tokens):
+    # Remove a trailing shell continuation so shlex can inspect the line prefix
+    candidate = line.strip()
+    if candidate.endswith("\\"):
+        candidate = candidate[:-1].rstrip()
+
+    try:
+        tokens = shlex.split(candidate, comments=True)
+    except ValueError:
+        return False
+
+    return tuple(tokens[: len(expected_tokens)]) == expected_tokens
+
+
+def find_training_script_path():
+    # Multiple locations supported, to make development easier:
+    #   container (production): script is in cwd
+    #   development, starting the gui app from dashboard/: script is in ../ml/
+    #   development, starting the gui app from the repo root dir: script is in ml/
+    script_locations = [Path.cwd(), Path.cwd() / "../ml", Path.cwd() / "ml"]
+    for script_dir in script_locations:
+        script_path = script_dir / "training_pm.sbatch"
+        if script_path.exists():
+            return script_path
+    raise RuntimeError("Could not find training_pm.sbatch")
+
+
+def parse_slurm_duration(duration):
+    # Normalize Slurm duration variants to the seconds expected by AmSC IRI API
+    days = 0
+    time_part = duration.strip()
+    has_days = "-" in time_part
+
+    if has_days:
+        day_part, time_part = time_part.split("-", 1)
+        days = int(day_part)
+
+    time_values = [int(v) for v in time_part.split(":")]
+    n = len(time_values)
+
+    if n > 3:
+        raise ValueError(f"Unsupported Slurm duration format: {duration}")
+
+    # Slurm treats ambiguous durations differently with a day prefix:
+    # D-H[:M[:S]], H:M:S, M:S, or M
+    if has_days:
+        time_values += [0] * (3 - n)
+    elif n == 1:
+        time_values = [0, time_values[0], 0]
+    else:
+        time_values = [0] * (3 - n) + time_values
+
+    hours, minutes, secs = time_values
+    return days * 86400 + hours * 3600 + minutes * 60 + secs
+
+
+def parse_sbatch_submit_options(script_path):
+    # Extract only SBATCH fields that map cleanly onto AmSC IRI API submit options
+    submit_options = {}
+    with open(script_path) as script_file:
+        for line in script_file:
+            line = line.strip()
+            if not line.startswith("#SBATCH"):
+                continue
+
+            directive = line.removeprefix("#SBATCH").strip()
+            if not directive:
+                continue
+
+            # Use shell parsing so quoted SBATCH values are handled correctly
+            tokens = shlex.split(directive, comments=True)
+            if not tokens:
+                continue
+
+            option = tokens[0]
+            value = None
+            if "=" in option:
+                option, value = option.split("=", 1)
+            elif len(tokens) > 1:
+                value = tokens[1]
+
+            submit_option = SBATCH_SUBMIT_OPTION_MAP.get(option)
+            if submit_option and value is not None:
+                submit_options[submit_option] = value
+
+    missing_options = [
+        option
+        for option in SBATCH_REQUIRED_SUBMIT_OPTIONS
+        if option not in submit_options
+    ]
+    if missing_options:
+        missing_list = ", ".join(sorted(missing_options))
+        raise ValueError(f"Missing required SBATCH option(s): {missing_list}")
+
+    # Convert values to the types expected by the AmSC IRI API submit endpoint
+    submit_options["duration"] = parse_slurm_duration(submit_options["duration"])
+    submit_options["nodes"] = int(submit_options["nodes"])
+    return submit_options
+
+
+def build_remote_training_config_path(experiment, model_type):
+    timestamp = datetime.now().strftime("%Y%m%d-%H%M%S")
+    safe_experiment = re.sub(r"[^A-Za-z0-9_.-]+", "-", experiment).strip("-")
+    safe_model_type = re.sub(r"[^A-Za-z0-9_.-]+", "-", model_type).strip("-")
+    config_name = f"config-{safe_experiment}-{safe_model_type}-{timestamp}.yaml"
+    return f"{TRAINING_REMOTE_DIR}/{config_name}"
+
+
+def replace_training_config_mount(command, remote_config_path):
+    """Rewrite only the host path bound to the fixed container config path."""
+
+    def replace_mount(match):
+        return (
+            f"{match.group('prefix')}"
+            f"{shlex.quote(remote_config_path)}:{TRAINING_CONFIG_CONTAINER_PATH}"
+        )
+
+    rewritten_command, replacement_count = TRAINING_CONFIG_MOUNT_RE.subn(
+        replace_mount,
+        command,
+        count=1,
+    )
+    if replacement_count != 1:
+        raise ValueError(
+            "Could not find the training config bind mount in the launch command"
+        )
+    return rewritten_command
+
+
+def _custom_attributes_from_submit_options(submit_options):
+    custom_attributes = JobAttributesCustomAttributes()
+    for key in ("constraint",):
+        if key in submit_options:
+            custom_attributes.additional_properties[key] = submit_options[key]
+    return custom_attributes
+
+
+def _gpu_cores_per_process(submit_options):
+    gpus_per_node = int(submit_options["gpus-per-node"])
+    tasks_per_node = int(submit_options["ntasks-per-node"])
+    if gpus_per_node % tasks_per_node != 0:
+        raise ValueError(
+            "AmSC IRI API GPU resources require --gpus-per-node to be evenly "
+            "divisible by --ntasks-per-node"
+        )
+    return gpus_per_node // tasks_per_node
+
+
+def build_iri_training_job_spec(submit_options, launch_spec, directory):
+    """Build an IRI JobSpec with GPU resources in the standard resource field."""
+    tasks_per_node = int(submit_options["ntasks-per-node"])
+    node_count = submit_options["nodes"]
+
+    resources = ResourceSpec(
+        node_count=node_count,
+        process_count=node_count * tasks_per_node,
+        processes_per_node=tasks_per_node,
+        gpu_cores_per_process=_gpu_cores_per_process(submit_options),
+    )
+    attributes = JobAttributes(
+        duration=submit_options["duration"],
+        queue_name=submit_options["queue"],
+        account=submit_options["account"],
+        custom_attributes=_custom_attributes_from_submit_options(submit_options),
+    )
+
+    return JobSpec(
+        executable=launch_spec["executable"],
+        arguments=launch_spec["arguments"],
+        directory=directory,
+        name=submit_options["name"],
+        resources=resources,
+        attributes=attributes,
+        stdout_path=submit_options["stdout_path"],
+        stderr_path=submit_options["stderr_path"],
+        pre_launch=launch_spec["pre_launch"],
+        launcher=launch_spec["launcher"],
+    )
+
+
+def collapse_shell_command(lines):
+    """Return the one command from a launch block.
+
+    Blank and comment-only lines are ignored before enforcing the command count.
+    """
+    command_parts = []
+    current_command = ""
+    for line in lines:
+        stripped = line.strip()
+        if not stripped or stripped.startswith("#"):
+            continue
+
+        if stripped.endswith("\\"):
+            current_command += f"{stripped[:-1]} "
+        else:
+            command = f"{current_command}{stripped}".strip()
+            if command:
+                command_parts.append(command)
+            current_command = ""
+
+    if current_command:
+        command = current_command.strip()
+        if command:
+            command_parts.append(command)
+
+    if len(command_parts) != 1:
+        raise ValueError(
+            "Expected exactly one AmSC IRI API training launch command, "
+            f"but found {len(command_parts)}"
+        )
+
+    return command_parts[0]
+
+
+def parse_shell_variable_assignments(lines):
+    # Keep static shell assignments that can be expanded without execution
+    variables = {}
+    for line in lines:
+        match = SHELL_ASSIGNMENT_RE.match(line.strip())
+        if not match:
+            continue
+
+        name, raw_value = match.groups()
+        if "$(" in raw_value or "`" in raw_value:
+            continue
+
+        values = shlex.split(raw_value, comments=True)
+        if len(values) == 1:
+            variables[name] = values[0]
+
+    return variables
+
+
+def expand_iri_shell_command(command, model_type, variables):
+    # Expand values we can resolve locally while preserving runtime shell
+    # variables like $HOME for the remote login shell on Perlmutter
+    expanded = command
+    replacements = {**variables, "model": model_type}
+    # Repeat so static assignment chains like IMAGE=${REGISTRY}/${NAME} resolve
+    for _ in replacements:
+        previous = expanded
+        for name, value in replacements.items():
+            expanded = expanded.replace(f"${{{name}}}", value)
+            expanded = expanded.replace(f"${name}", value)
+        if expanded == previous:
+            break
+    return expanded
+
+
+def parse_iri_training_launch_spec(script_path, model_type, remote_config_path=None):
+    # Keep setup as raw pre_launch lines; only the podman-hpc launch command
+    # is collapsed and rewritten locally.
+    pre_launch_lines = []
+    launch_lines = []
+    found_launch = False
+
+    with open(script_path) as script_file:
+        for raw_line in script_file:
+            line = raw_line.rstrip()
+            stripped = line.strip()
+
+            if found_launch:
+                launch_lines.append(line)
+            elif line_starts_with_tokens(stripped, IRI_TRAINING_LAUNCH_PREFIX):
+                found_launch = True
+                launch_lines.append(line)
+            elif SCRIPT_MODEL_ARGUMENT_RE.match(stripped):
+                pre_launch_lines.append(f"model={shlex.quote(model_type)}")
+            elif (
+                stripped
+                and not stripped.startswith("#!")
+                and not stripped.startswith("#SBATCH")
+            ):
+                pre_launch_lines.append(line)
+
+    if not launch_lines:
+        raise ValueError("Could not find the AmSC IRI API training launch command")
+
+    launch_command = collapse_shell_command(launch_lines)
+    variables = parse_shell_variable_assignments(pre_launch_lines)
+    launcher = IRI_TRAINING_LAUNCH_PREFIX[0]
+    executable = "/bin/bash"
+    shell_command = re.sub(
+        rf"^\s*{re.escape(launcher)}\s+", "", launch_command, count=1
+    )
+    shell_command = expand_iri_shell_command(shell_command, model_type, variables)
+    if remote_config_path is not None:
+        shell_command = replace_training_config_mount(shell_command, remote_config_path)
+    arguments = ["-lc", shell_command]
+
+    return {
+        "arguments": arguments,
+        "executable": executable,
+        "launcher": launcher,
+        "pre_launch": "\n".join(pre_launch_lines),
+    }
 
 
 def build_mlflow_model_name(config_dict, model_type):
@@ -317,22 +662,39 @@ def populate_inferred_calibration(self, input_variables, output_variables):
         # Notify Trame that the dict was modified in-place, so the UI updates
         state.dirty("simulation_calibration")
 
-    def _prepare_training_config(self, temp_dir):
+    def _prepare_training_config(
+        self,
+        temp_dir,
+        experiment,
+        experiment_date_range,
+        simulation_calibration,
+    ):
         """Prepare a training configuration file in the given temporary directory,
         updated with information from the dashboard.
 
         Returns the path to the written configuration file.
         """
-        config_dict = load_config_dict(state.experiment)
-        config_dict["simulation_calibration"] = state.simulation_calibration
-        date_filter = create_date_filter(state.experiment_date_range)
+        config_dict = load_config_dict(experiment)
+        if config_dict.get("experiment") != experiment:
+            raise ValueError(
+                "Selected experiment does not match config file experiment: "
+                f"{experiment} != {config_dict.get('experiment')}"
+            )
+        config_dict["simulation_calibration"] = simulation_calibration
+        date_filter = create_date_filter(experiment_date_range)
         config_dict["date_filter"] = date_filter
         config_path = Path(temp_dir) / "config.yaml"
         with open(config_path, "w") as f:
             yaml.dump(config_dict, f)
         return config_path
 
-    async def _training_kernel_sfapi(self):
+    async def _training_kernel_sfapi(
+        self,
+        experiment,
+        model_type,
+        experiment_date_range,
+        simulation_calibration,
+    ):
         try:
             # create an authenticated client
             async with AsyncClient(
@@ -341,38 +703,39 @@ async def _training_kernel_sfapi(self):
                 perlmutter = await client.compute(Machine.perlmutter)
                 # upload the configuration file to NERSC
                 with tempfile.TemporaryDirectory() as temp_dir:
-                    config_path = self._prepare_training_config(temp_dir)
-                    # define the target path on NERSC
-                    target_path = "/global/cfs/cdirs/m558/superfacility/model_training"
-                    [target_path] = await perlmutter.ls(target_path, directory=True)
+                    config_path = self._prepare_training_config(
+                        temp_dir,
+                        experiment,
+                        experiment_date_range,
+                        simulation_calibration,
+                    )
+                    remote_config_path = build_remote_training_config_path(
+                        experiment,
+                        model_type,
+                    )
+                    [target_path] = await perlmutter.ls(
+                        TRAINING_REMOTE_DIR, directory=True
+                    )
                     with open(config_path, "rb") as temp_file:
                         print("Uploading configuration file to NERSC...")
-                        temp_file.filename = "config.yaml"
+                        temp_file.filename = PurePosixPath(remote_config_path).name
                         await target_path.upload(temp_file)
+                    print(f"Uploaded configuration file to {remote_config_path}")
 
                 # set the path of the script used to submit the training job on NERSC
-                training_script = None
-                # multiple locations supported, to make development easier
-                #   container (production): script is in cwd
-                #   development, starting the gui app from dashboard/: script is in ../ml/
-                #   development, starting the gui app from the repo root dir: script is in ml/
-                script_locations = [Path.cwd(), Path.cwd() / "../ml", Path.cwd() / "ml"]
-                for script_dir in script_locations:
-                    script_path = script_dir / "training_pm.sbatch"
-                    if os.path.exists(script_path):
-                        with open(script_path, "r") as file:
-                            training_script = file.read()
-                        break
-                if training_script is None:
-                    raise RuntimeError("Could not find training_pm.sbatch")
+                training_script_path = find_training_script_path()
+                with open(training_script_path) as file:
+                    training_script = file.read()
 
                 # replace the --model argument in the python command with the current model type from the state
                 training_script = re.sub(
                     pattern=r"--model \$\{model\}",
-                    repl=rf"--model {model_type_dict[state.model_type_verbose]}",
+                    repl=rf"--model {model_type}",
                     string=training_script,
                 )
-
+                training_script = replace_training_config_mount(
+                    training_script, remote_config_path
+                )
                 # submit the training job through the Superfacility API
                 sfapi_job = await perlmutter.submit_job(training_script)
                 state.model_training_status = "Submitted"
@@ -389,14 +752,111 @@ async def _training_kernel_sfapi(self):
             state.flush()
             return False
 
-    async def _training_kernel_local(self):
+    async def _training_kernel_iriapi(
+        self,
+        experiment,
+        model_type,
+        experiment_date_range,
+        simulation_calibration,
+    ):
+        try:
+            # Create an authenticated client
+            client = Client(auth_method="globus")
+            # Connect to NERSC
+            nersc = await asyncio.to_thread(client.facility, "nersc")
+            # Get the compute resource (Perlmutter)
+            perlmutter = await asyncio.to_thread(nersc.resource, "compute")
+            # Get the CFS resource for uploading files shared with compute jobs
+            cfs = await asyncio.to_thread(nersc.resource, "cfs")
+            training_script_path = find_training_script_path()
+            remote_config_path = build_remote_training_config_path(
+                experiment,
+                model_type,
+            )
+            # Reuse SBATCH directives so AmSC IRI API submissions match the batch script
+            submit_options = parse_sbatch_submit_options(training_script_path)
+            launch_spec = parse_iri_training_launch_spec(
+                training_script_path,
+                model_type,
+                remote_config_path,
+            )
+            training_job_spec = build_iri_training_job_spec(
+                submit_options, launch_spec, TRAINING_REMOTE_DIR
+            )
+            print(
+                "AmSC IRI API training submit options: "
+                f"account={submit_options['account']}, "
+                f"queue={submit_options['queue']}, "
+                f"constraint={submit_options['constraint']}, "
+                f"gpus-per-node={submit_options['gpus-per-node']}, "
+                f"gpu-cores-per-process="
+                f"{training_job_spec.resources.gpu_cores_per_process}, "
+                f"nodes={submit_options['nodes']}, "
+                f"duration={submit_options['duration']}"
+            )
+
+            # Training script is parsed locally; only config.yaml is uploaded
+            with tempfile.TemporaryDirectory() as temp_dir:
+                config_path = self._prepare_training_config(
+                    temp_dir,
+                    experiment,
+                    experiment_date_range,
+                    simulation_calibration,
+                )
+                print("Uploading configuration file to NERSC...")
+                upload_task = await asyncio.to_thread(
+                    cfs.fs.upload,
+                    config_path,
+                    remote_config_path,
+                    file_name=PurePosixPath(remote_config_path).name,
+                )
+                upload_task = await asyncio.to_thread(upload_task.wait)
+                if upload_task.state != "completed":
+                    raise RuntimeError(
+                        "Uploading configuration file to NERSC failed "
+                        f"(task {upload_task.id} ended with state "
+                        f"{upload_task.state})"
+                    )
+                print(f"Uploaded training configuration to {remote_config_path}")
+
+            # Submit the training job through the AmSC IRI API
+            iriapi_job = await asyncio.to_thread(
+                perlmutter.submit,
+                body=training_job_spec,
+            )
+            state.model_training_status = "Submitted"
+            state.flush()
+            # Print some logs
+            print(f"Training job submitted (job ID: {iriapi_job.id})")
+            return await monitor_iriapi_job(iriapi_job, "model_training_status")
+
+        except Exception as e:
+            title = "Unable to complete remote training"
+            msg = f"Error occurred when executing remote training: {e}"
+            add_error(title, msg)
+            print(msg)
+            state.model_training_status = "Failed"
+            state.flush()
+            return False
+
+    async def _training_kernel_local(
+        self,
+        experiment,
+        model_type,
+        experiment_date_range,
+        simulation_calibration,
+    ):
         try:
             ml_dir = (Path(__file__).parent / "../ml").resolve()
             train_model_path = ml_dir / "train_model.py"
-            model_type = model_type_dict[state.model_type_verbose]
 
             with tempfile.TemporaryDirectory() as temp_dir:
-                config_path = self._prepare_training_config(temp_dir)
+                config_path = self._prepare_training_config(
+                    temp_dir,
+                    experiment,
+                    experiment_date_range,
+                    simulation_calibration,
+                )
                 state.model_training_status = "Running"
                 state.flush()
                 print(
@@ -446,17 +906,37 @@ async def _training_kernel_local(self):
     async def training_async(self):
         try:
             print("Training model...")
+            experiment = state.experiment
+            model_type = model_type_dict[state.model_type_verbose]
+            training_mode = state.model_training_mode
+            experiment_date_range = list(state.experiment_date_range or [])
+            simulation_calibration = deepcopy(state.simulation_calibration)
             state.model_training = True
             state.model_training_status = "Submitting"
             state.flush()
-            if state.model_training_mode == "local":
-                result = await self._training_kernel_local()
-            elif state.model_training_mode == "sfapi":
-                result = await self._training_kernel_sfapi()
-            else:
-                raise ValueError(
-                    f"Unsupported training mode: {state.model_training_mode}"
+            if training_mode == "local":
+                result = await self._training_kernel_local(
+                    experiment,
+                    model_type,
+                    experiment_date_range,
+                    simulation_calibration,
+                )
+            elif training_mode == "sfapi":
+                result = await self._training_kernel_sfapi(
+                    experiment,
+                    model_type,
+                    experiment_date_range,
+                    simulation_calibration,
+                )
+            elif training_mode == "iriapi":
+                result = await self._training_kernel_iriapi(
+                    experiment,
+                    model_type,
+                    experiment_date_range,
+                    simulation_calibration,
                 )
+            else:
+                raise ValueError(f"Unsupported training mode: {training_mode}")
             if result:
                 state.model_training_time = datetime.now().strftime("%Y-%m-%d %H:%M")
                 state.flush()
@@ -490,7 +970,6 @@ def panel(self):
             MODEL_TYPE_NN_SINGLE,
             MODEL_TYPE_NN_ENSEMBLE,
         ]
-        model_type_cols = 8 if AMSC_LOGO_URL else 12
         with vuetify.VExpansionPanels(v_model=("expand_panel_control_model", 0)):
             with vuetify.VExpansionPanel(
                 title="Control: Models",
@@ -498,101 +977,119 @@ def panel(self):
             ):
                 with vuetify.VExpansionPanelText():
                     with vuetify.VRow(align="center"):
-                        with vuetify.VCol(cols=model_type_cols):
+                        with vuetify.VCol(cols=8, classes="d-flex align-center"):
                             vuetify.VSelect(
                                 v_model=("model_type_verbose",),
                                 label="Model type",
                                 items=(model_type_list,),
                                 dense=True,
+                                hide_details=True,
                             )
-                        if AMSC_LOGO_URL:
-                            with vuetify.VCol(
-                                cols=4,
-                                classes="d-flex align-center justify-end",
+                        with vuetify.VCol(
+                            cols=4,
+                            classes="d-flex align-center justify-end",
+                        ):
+                            with html.A(
+                                href=(
+                                    f"{AMSC_MLFLOW_LINK_ACTIVE_EXPR} ? "
+                                    f"{AMSC_MLFLOW_MODEL_URL_EXPR} : null",
+                                ),
+                                target="_blank",
+                                rel="noopener noreferrer",
+                                title=(
+                                    f"{AMSC_MLFLOW_LINK_ACTIVE_EXPR} ? "
+                                    "'Open selected model in AmSC MLflow' : "
+                                    "'Selected model is not available in AmSC "
+                                    "MLflow'",
+                                ),
+                                style=(
+                                    f"{AMSC_MLFLOW_LINK_ACTIVE_EXPR} ? "
+                                    "'display: block; width: 100%; "
+                                    "max-width: 300px; margin-left: auto; "
+                                    "cursor: pointer;' : "
+                                    "'display: block; width: 100%; "
+                                    "max-width: 300px; margin-left: auto; "
+                                    "cursor: default;'",
+                                ),
                             ):
-                                with html.A(
-                                    v_if=(AMSC_MLFLOW_LINK_ACTIVE_EXPR,),
-                                    href=(AMSC_MLFLOW_MODEL_URL_EXPR,),
-                                    target="_blank",
-                                    rel="noopener noreferrer",
-                                    title="Open selected model in AmSC MLflow",
-                                    style=(
-                                        "display: block; width: 100%; "
-                                        "max-width: 300px; margin-left: auto; "
-                                        "cursor: pointer;"
-                                    ),
-                                ):
-                                    vuetify.VImg(
-                                        src=AMSC_LOGO_URL,
-                                        alt="AmSC",
-                                        max_width=300,
-                                        max_height=72,
-                                        contain=True,
-                                        style="width: 100%;",
-                                    )
                                 vuetify.VImg(
-                                    v_if=(f"!({AMSC_MLFLOW_LINK_ACTIVE_EXPR})",),
                                     src=AMSC_LOGO_URL,
                                     alt="AmSC",
                                     max_width=300,
                                     max_height=72,
                                     contain=True,
-                                    title=(
-                                        "Selected model is not available in AmSC MLflow"
-                                    ),
-                                    style=(
-                                        "width: 100%; max-width: 300px; "
-                                        "margin-left: auto;"
-                                    ),
+                                    style="width: 100%; cursor: inherit;",
                                 )
                     with vuetify.VRow(
-                        v_if=(MODEL_DOWNLOAD_ACTIVE_EXPR,),
                         no_gutters=True,
                         align="center",
-                        style="margin-top: -8px; margin-bottom: 8px;",
+                        style=(
+                            "margin-top: -8px; margin-bottom: 8px; min-height: 32px;"
+                        ),
                     ):
-                        with vuetify.VCol(cols=model_type_cols):
+                        with vuetify.VCol():
                             with html.Div(
-                                classes=(
-                                    "d-flex align-center text-caption "
-                                    "text-medium-emphasis mb-1"
+                                style=(
+                                    f"{MODEL_DOWNLOAD_ACTIVE_EXPR} ? "
+                                    "'visibility: visible; opacity: 1;' : "
+                                    "'visibility: hidden; opacity: 0;'",
                                 )
                             ):
-                                vuetify.VIcon(
-                                    "mdi-cloud-download-outline",
-                                    size=16,
-                                    classes="mr-1",
-                                )
-                                html.Span(v_text=("model_download_status",))
-                                vuetify.VSpacer()
-                                html.Span(
-                                    v_if=("model_download_progress !== null",),
-                                    v_text=(
-                                        "`${Math.round(model_download_progress)}%`",
-                                    ),
+                                with html.Div(
+                                    classes=(
+                                        "d-flex align-center text-caption "
+                                        "text-medium-emphasis mb-1"
+                                    )
+                                ):
+                                    vuetify.VIcon(
+                                        "mdi-cloud-download-outline",
+                                        size=16,
+                                        classes="mr-1",
+                                    )
+                                    html.Span(v_text=("model_download_status",))
+                                    vuetify.VSpacer()
+                                    html.Span(
+                                        v_text=(
+                                            "model_download_progress === null ? "
+                                            "'' : "
+                                            "`${Math.round(model_download_progress)}%`",
+                                        ),
+                                        style="min-width: 3em; text-align: right;",
+                                    )
+                                vuetify.VProgressLinear(
+                                    indeterminate=("model_download_progress === null"),
+                                    model_value=("model_download_progress",),
+                                    color="primary",
+                                    height=4,
+                                    rounded=True,
                                 )
-                            vuetify.VProgressLinear(
-                                indeterminate=("model_download_progress === null",),
-                                model_value=("model_download_progress",),
-                                color="primary",
-                                height=4,
-                                rounded=True,
+                    with vuetify.VRow():
+                        with vuetify.VCol():
+                            vuetify.VSelect(
+                                v_model=("model_training_mode",),
+                                label="Training backend",
+                                items=(EXECUTION_MODE_ITEMS,),
+                                dense=True,
+                                hide_details=True,
                             )
-                    with vuetify.VRow(align="center"):
-                        with vuetify.VCol(cols="auto"):
+                    with vuetify.VRow():
+                        with vuetify.VCol():
+                            vuetify.VTextField(
+                                v_model_number=("model_training_status",),
+                                label="Training status",
+                                readonly=True,
+                                dense=True,
+                                hide_details=True,
+                            )
+                    with vuetify.VRow():
+                        with vuetify.VCol():
                             vuetify.VBtn(
                                 "Train",
+                                block=True,
                                 click=self.training_trigger,
                                 disabled=(
                                     "model_training || "
-                                    "(model_training_mode === 'sfapi' && "
-                                    "perlmutter_status !== 'active')",
+                                    f"{remote_backend_unavailable_expr('model_training_mode')}",
                                 ),
                                 style="text-transform: none",
                             )
-                        with vuetify.VCol(cols=6, style="margin-left: auto;"):
-                            vuetify.VTextField(
-                                v_model_number=("model_training_status",),
-                                label="Training status",
-                                readonly=True,
-                            )
diff --git a/dashboard/optimization_manager.py b/dashboard/optimization_manager.py
index 237c4ae..8d45c9f 100644
--- a/dashboard/optimization_manager.py
+++ b/dashboard/optimization_manager.py
@@ -12,6 +12,14 @@ def __init__(self, model):
         self.__model = model
         state.optimization_target = state.displayed_output
 
+    @property
+    def model(self):
+        return self.__model
+
+    @model.setter
+    def model(self, model):
+        self.__model = model
+
     def model_wrapper(self, parameters_array):
         print("Wrapping model...")
         # convert array of parameters to dictionary
@@ -87,18 +95,22 @@ def panel(self):
                                 label="Optimization target",
                                 items=(state.output_variables,),
                                 dense=True,
+                                hide_details=True,
                             )
+                    with vuetify.VRow():
                         with vuetify.VCol():
                             vuetify.VSelect(
                                 v_model=("optimization_type",),
                                 label="Optimization type",
                                 items=(optimization_type_list,),
                                 dense=True,
+                                hide_details=True,
                             )
                     with vuetify.VRow():
                         with vuetify.VCol():
                             vuetify.VBtn(
                                 "Optimize",
+                                block=True,
                                 click=self.optimize_trigger,
                                 style="text-transform: none",
                             )
diff --git a/dashboard/parameters_manager.py b/dashboard/parameters_manager.py
index 9cfc5a5..e4bf8d4 100644
--- a/dashboard/parameters_manager.py
+++ b/dashboard/parameters_manager.py
@@ -9,6 +9,7 @@
 from trame.widgets import client, vuetify3 as vuetify
 from utils import load_variables
 from calibration_manager import SimulationCalibrationManager
+from execution_mode_manager import EXECUTION_MODE_ITEMS, remote_backend_unavailable_expr
 from error_manager import add_error
 from sfapi_manager import monitor_sfapi_job
 from state_manager import state, EXPERIMENTS_PATH
@@ -121,6 +122,10 @@ async def simulation_async(self):
             state.simulation_running = True
             state.simulation_running_status = "Submitting"
             state.flush()
+            if state.simulation_running_mode != "sfapi":
+                raise ValueError(
+                    f"Unsupported simulation mode: {state.simulation_running_mode}"
+                )
             if await self.simulation_kernel():
                 state.simulation_running_time = datetime.now().strftime(
                     "%Y-%m-%d %H:%M"
@@ -136,6 +141,9 @@ async def simulation_async(self):
             msg = f"Error occurred when running simulation: {e}"
             add_error(title, msg)
             print(msg)
+            state.simulation_running = False
+            state.simulation_running_status = "Failed"
+            state.flush()
 
     def simulation_trigger(self):
         try:
@@ -227,27 +235,42 @@ def panel(self):
                                         change="flushState('parameters_show_all')",
                                         label="Show all",
                                     )
-                        with vuetify.VRow(align="center"):
-                            with vuetify.VCol(cols=6):
-                                with vuetify.VRow():
-                                    with vuetify.VCol():
-                                        vuetify.VBtn(
-                                            "Reset",
-                                            click=self.reset,
-                                            style="text-transform: none",
-                                        )
-                                    with vuetify.VCol():
-                                        vuetify.VBtn(
-                                            "Simulate",
-                                            click=self.simulation_trigger,
-                                            disabled=(
-                                                "simulation_running || perlmutter_status != 'active' || !simulatable",
-                                            ),
-                                            style="text-transform: none;",
-                                        )
-                            with vuetify.VCol(cols=6):
+                        with vuetify.VRow():
+                            with vuetify.VCol():
+                                vuetify.VSelect(
+                                    v_model=("simulation_running_mode",),
+                                    label="Simulation backend",
+                                    items=(EXECUTION_MODE_ITEMS,),
+                                    dense=True,
+                                    hide_details=True,
+                                )
+                        with vuetify.VRow():
+                            with vuetify.VCol():
                                 vuetify.VTextField(
                                     v_model_number=("simulation_running_status",),
                                     label="Simulation status",
                                     readonly=True,
+                                    dense=True,
+                                    hide_details=True,
+                                )
+                        with vuetify.VRow(align="center"):
+                            with vuetify.VCol(cols=6):
+                                vuetify.VBtn(
+                                    "Reset",
+                                    block=True,
+                                    click=self.reset,
+                                    style="text-transform: none",
+                                )
+                            with vuetify.VCol(cols=6):
+                                vuetify.VBtn(
+                                    "Simulate",
+                                    block=True,
+                                    click=self.simulation_trigger,
+                                    disabled=(
+                                        "simulation_running || !simulatable || "
+                                        "(simulation_running_mode !== 'sfapi' && "
+                                        "simulation_running_mode !== 'iriapi') || "
+                                        f"{remote_backend_unavailable_expr('simulation_running_mode')}",
+                                    ),
+                                    style="text-transform: none;",
                                 )
diff --git a/dashboard/sfapi_manager.py b/dashboard/sfapi_manager.py
index b3dd58d..55d8698 100644
--- a/dashboard/sfapi_manager.py
+++ b/dashboard/sfapi_manager.py
@@ -62,10 +62,10 @@ def update_sfapi_info():
                 )
                 # update Perlmutter status
                 status = client.compute(Machine.perlmutter)
-                state.perlmutter_description = f"{status.description}"
-                state.perlmutter_status = f"{status.status.value}"
+                state.sfapi_perlmutter_description = f"{status.description}"
+                state.sfapi_perlmutter_status = f"{status.status.value}"
                 print(
-                    f"Perlmutter status is {state.perlmutter_status} with description '{state.perlmutter_description}'"
+                    f"Perlmutter status is '{state.sfapi_perlmutter_status}' with description '{state.sfapi_perlmutter_description}'"
                 )
             else:
                 # reset key expiration date
@@ -73,8 +73,8 @@ def update_sfapi_info():
                     f"Expired On {expiration.strftime(user_format)}"
                 )
                 # reset Perlmutter status
-                state.perlmutter_description = "Unavailable"
-                state.perlmutter_status = "unavailable"
+                state.sfapi_perlmutter_description = "Unavailable"
+                state.sfapi_perlmutter_status = "unavailable"
                 title = "Unable to find a valid Superfacility API key"
                 msg = f"Superfacility API key expired on {expiration.strftime(user_format)}"
                 add_error(title, msg)
@@ -84,8 +84,8 @@ def update_sfapi_info():
         # reset key expiration date
         state.sfapi_key_expiration = "Unavailable"
         # reset Perlmutter status
-        state.perlmutter_description = "Unavailable"
-        state.perlmutter_status = "unavailable"
+        state.sfapi_perlmutter_description = "Unavailable"
+        state.sfapi_perlmutter_status = "unavailable"
         title = "Unable to connect to NERSC"
         msg = f"Error occurred when connecting to NERSC through the Superfacility API: {e}"
         add_error(title, msg)
@@ -96,7 +96,6 @@ def update_sfapi_info():
 def load_sfapi_credentials(**kwargs):
     # skip if triggered on server ready (all state variables marked as modified)
     if len(state.modified_keys) == 1:
-        # return if no key file has been uploaded (redundant)
         if state.sfapi_key_dict is not None:
             print("Loading Superfacility API credentials...")
             # store the whole content of the key file in a string
@@ -109,30 +108,30 @@ def load_sfapi_credentials(**kwargs):
 
 def load_sfapi_card():
     print("Setting Superfacility API card...")
-    with vuetify.VCard():
-        with vuetify.VCardTitle("Superfacility API"):
-            with vuetify.VCardText():
-                # row with component to upload input file
-                with vuetify.VRow():
-                    vuetify.VFileInput(
-                        v_model=("sfapi_key_dict",),
-                        label="Key File (pem format, must include client ID in first line)",
-                        accept=".pem",
-                        __properties=["accept"],
-                    )
-                # row with text field to display key expiration date
-                with vuetify.VRow():
-                    with vuetify.VCol():
-                        vuetify.VTextField(
-                            v_model=("sfapi_key_expiration",),
-                            label="Key Expiration (if expired or unavailable, please upload a valid key)",
-                            readonly=True,
-                        )
-                # row with text field to display Perlmutter status
-                with vuetify.VRow():
-                    with vuetify.VCol():
-                        vuetify.VTextField(
-                            v_model=("perlmutter_description",),
-                            label="Perlmutter Status",
-                            readonly=True,
-                        )
+    # row with component to upload input file with top padding
+    with vuetify.VRow(style="padding-top: 20px;"):
+        with vuetify.VCol():
+            vuetify.VFileInput(
+                v_model=("sfapi_key_dict",),
+                label="Key File (pem format, must include client ID in first line)",
+                accept=".pem",
+                prepend_icon="",
+                prepend_inner_icon="mdi-paperclip",
+                __properties=["accept"],
+            )
+    # row with text field to display key expiration date
+    with vuetify.VRow():
+        with vuetify.VCol():
+            vuetify.VTextField(
+                v_model=("sfapi_key_expiration",),
+                label="Key Expiration",
+                readonly=True,
+            )
+    # row with text field to display Perlmutter status
+    with vuetify.VRow():
+        with vuetify.VCol():
+            vuetify.VTextField(
+                v_model=("sfapi_perlmutter_description",),
+                label="Perlmutter Status",
+                readonly=True,
+            )
diff --git a/dashboard/state_manager.py b/dashboard/state_manager.py
index 1068096..94b6507 100644
--- a/dashboard/state_manager.py
+++ b/dashboard/state_manager.py
@@ -42,19 +42,26 @@ def initialize_state():
     state.optimization_status = None
     # Opacity
     state.opacity = 0.05
+    # IRI API
+    state.iriapi_key = None
+    state.iriapi_key_dict = None
+    state.iriapi_key_expiration = "Unavailable"
+    state.iriapi_perlmutter_description = "Unavailable"
+    state.iriapi_perlmutter_status = "unavailable"
     # Superfacility API
     state.sfapi_client_id = None
     state.sfapi_key = None
     state.sfapi_key_dict = None
     state.sfapi_key_expiration = "Unavailable"
-    state.perlmutter_description = "Unavailable"
-    state.perlmutter_status = "unavailable"
+    state.sfapi_perlmutter_description = "Unavailable"
+    state.sfapi_perlmutter_status = "unavailable"
     # Simulation plots in interactive dialog
     state.simulation_url = None
     state.simulation_dialog = False
     state.simulation_video = False
     # Simulation jobs
     state.simulation_running = False
+    state.simulation_running_mode = "local"
     state.simulation_running_status = None
     state.simulation_running_time = None
     state.simulatable = False
diff --git a/dashboard/utils.py b/dashboard/utils.py
index ba9971f..2854c45 100644
--- a/dashboard/utils.py
+++ b/dashboard/utils.py
@@ -387,7 +387,7 @@ def hover_section(title, cols, hover_data):
             col=this_col,
         )
 
-    # A bit of padding on either end of the y range so we can see all the data.
+    # A bit of padding on either end of the y range so we can see all the data
     padding = 0.05 * (global_ymax - global_ymin)
     for i, key in enumerate(parameters.keys()):
         this_row = i + 1
diff --git a/ml/training_pm.sbatch b/ml/training_pm.sbatch
index a4f3cfd..c9be2be 100644
--- a/ml/training_pm.sbatch
+++ b/ml/training_pm.sbatch
@@ -19,13 +19,29 @@ model=${1}  # e.g., "NN", "GP", etc.
 #       Ids, but should compare image Digests.
 #       We did not find a way to compare digests between the docker registry
 #       and the local podman-hpc images (they change, conversion?)
-SECONDS=0                      # built-in bash timer: reset
-source $HOME/registry.profile  # credential variables: REGISTRY_USER and REGISTRY_PASSWORD
+SECONDS=0  # built-in bash timer: reset
+REGISTRY_PROFILE="$HOME/registry.profile"
+DB_ENV_FILE="$HOME/db-podman.profile"
 REGISTRY_NAME="registry.nersc.gov"
 IMAGE_NAME="m558/superfacility/synapse-ml"
 IMAGE_VERSION="latest"
 
-podman-hpc login --username "${REGISTRY_USER}" --password "${REGISTRY_PASSWORD}" ${REGISTRY_NAME}
+if [ ! -r "${REGISTRY_PROFILE}" ]; then
+    echo "Missing registry credentials file: ${REGISTRY_PROFILE}" >&2
+    echo "Create it with REGISTRY_USER and REGISTRY_PASSWORD for ${REGISTRY_NAME}." >&2
+    exit 1
+fi
+source "${REGISTRY_PROFILE}"  # credential variables: REGISTRY_USER and REGISTRY_PASSWORD
+: "${REGISTRY_USER:?REGISTRY_USER must be set in ${REGISTRY_PROFILE}}"
+: "${REGISTRY_PASSWORD:?REGISTRY_PASSWORD must be set in ${REGISTRY_PROFILE}}"
+
+if [ ! -r "${DB_ENV_FILE}" ]; then
+    echo "Missing container environment file: ${DB_ENV_FILE}" >&2
+    echo "Create it with SF_DB_READONLY_PASSWORD and AM_SC_API_KEY." >&2
+    exit 1
+fi
+
+printf '%s\n' "${REGISTRY_PASSWORD}" | podman-hpc login --username "${REGISTRY_USER}" --password-stdin "${REGISTRY_NAME}"
 # As the local image, we use the digest id.
 #   podman-hpc lists to entries with the same digest id,
 #   one local and one migrated (read-write and read-only).
@@ -35,21 +51,21 @@ LOCAL_SHA="sha256:"$(podman-hpc images --digests --format "{{.Id}}" ${REGISTRY_N
 OCI_INDEX_TYPE="application/vnd.oci.image.index.v1+json"
 OCI_MANIFEST_TYPE="application/vnd.oci.image.manifest.v1+json"
 #   first we unwarp the provenance information to pick the right image manifest
-MANIFEST_INDEX=$(curl -s \
+MANIFEST_INDEX=$(curl -fsS \
     -H "Accept: ${OCI_INDEX_TYPE}" \
     -u "${REGISTRY_USER}:${REGISTRY_PASSWORD}" \
     "https://${REGISTRY_NAME}/v2/${IMAGE_NAME}/manifests/${IMAGE_VERSION}" | \
-    jq -r '.manifests[] | select(.annotations["vnd.docker.reference.type"] != "attestation-manifest") | .digest' || echo "NOOCI")
+    jq -er '(.manifests // [])[] | select(.annotations["vnd.docker.reference.type"] != "attestation-manifest") | .digest' || echo "NOOCI")
 #   fallback for old Docker builders without OCI index
 if [ "${MANIFEST_INDEX}" == "NOOCI" ]; then
     MANIFEST_INDEX=${IMAGE_VERSION}
 fi
 #   then we download the manifest of the image and parse out the config digest SHA
-REMOTE_SHA=$(curl -s \
+REMOTE_SHA=$(curl -fsS \
     -H "Accept: ${OCI_MANIFEST_TYPE}" \
     -u "${REGISTRY_USER}:${REGISTRY_PASSWORD}" \
     "https://${REGISTRY_NAME}/v2/${IMAGE_NAME}/manifests/${MANIFEST_INDEX}" | \
-    jq -r '.config.digest')
+    jq -er '.config.digest')
 
 if [ "$LOCAL_SHA" != "$REMOTE_SHA" ]; then
     echo "Ids are different."
@@ -64,9 +80,10 @@ echo "Container check/pull took ${SECONDS} seconds."
 
 # CUDA visible devices are ordered inverse to local task IDs
 #   Reference: nvidia-smi topo -m
+# API submissions rewrite only the host side of the config mount.
 srun podman-hpc run --gpu \
     -v /etc/localtime:/etc/localtime \
     -v /global/cfs/cdirs/m558/superfacility/model_training/config.yaml:/app/ml/config.yaml \
-    --env-file $HOME/db-podman.profile \
+    --env-file "${DB_ENV_FILE}" \
     --rm -it ${REGISTRY_NAME}/${IMAGE_NAME}:${IMAGE_VERSION} \
     python -u /app/ml/train_model.py --config_file /app/ml/config.yaml --model ${model}
diff --git a/publish_container.py b/publish_container.py
index 583a8f0..f47a356 100755
--- a/publish_container.py
+++ b/publish_container.py
@@ -6,7 +6,11 @@
 """
 
 import argparse
+import os
 import subprocess
+from pathlib import Path
+
+DEFAULT_AMSC_CLIENT_SRC = Path(__file__).resolve().parent.parent / "amsc-python-client"
 
 
 def run(command: str, proceed: str, auto_yes: bool):
@@ -37,9 +41,18 @@ def build_container(container: str, auto_yes: bool):
         "ml": "synapse-ml",
     }
 
+    extra = ""
+    if container == "gui":
+        src = (
+            Path(os.environ.get("AMSC_CLIENT_SRC", DEFAULT_AMSC_CLIENT_SRC))
+            .expanduser()
+            .resolve()
+        )
+        extra = f" --build-context amsc-client-src={src}"
+
     # build the new image
     proceed = "y" if auto_yes else input(f"\nBuild new {container} image? [y/N] ")
-    command = f"docker build --platform linux/amd64 --output type=image,oci-mediatypes=true -t {imagename[container]} -f {folders[container]}.Dockerfile ."
+    command = f"docker build --platform linux/amd64 --output type=image,oci-mediatypes=true -t {imagename[container]} -f {folders[container]}.Dockerfile{extra} ."
     run(command, proceed, auto_yes)
 
     # upload to the NERSC registry