diff --git a/.dockerignore b/.dockerignore
index 8e4e560ff5..fe1794351e 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -24,14 +24,29 @@ ckpts/
 coverage.json
 .coverage*
 test_assets/
+.nrl_remote_map.json
+.nrl_remote_state.json
+# Test biproducts
+tests/functional/*/
+
+# Gym
+/3rdparty/Gym-workspace/Gym/cache/uv/
+/3rdparty/Gym-workspace/Gym/res*/*/.venv/
+/3rdparty/Gym-workspace/Gym/res*/*/.venv/
+/3rdparty/Gym-workspace/Gym/.venv/
 
 # Cache
 uv_cache/
 hf_home/
 hf_datasets_cache/
 *logs/
-datasets/
+/datasets/
 wandb/
 checkpoints/
 results/
-code_snapshots/
+code_snapshots*/
+.cache/
+
+# Runtime env
+*runtime_env.yaml
+!default_runtime_env.yaml
diff --git a/.gitignore b/.gitignore
index 5d5611d1c2..ffa8079d0c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -21,11 +21,11 @@ ckpts/
 # Test
 coverage.json
 .coverage*
-unit_results.json
-unit_results/
 test_assets/
 .nrl_remote_map.json
 .nrl_remote_state.json
+# Test biproducts
+tests/functional/*/
 
 # Cache
 uv_cache/
@@ -33,10 +33,6 @@ hf_home/
 hf_datasets_cache/
 *logs/
 /datasets/
-docker/*
-!docker/Dockerfile
-!docker/Dockerfile.ngc_pytorch
-!docker/README.md
 wandb/
 checkpoints/
 results/
diff --git a/3rdparty/Gym-workspace/Gym b/3rdparty/Gym-workspace/Gym
index 23cdeb3807..ea486a185a 160000
--- a/3rdparty/Gym-workspace/Gym
+++ b/3rdparty/Gym-workspace/Gym
@@ -1 +1 @@
-Subproject commit 23cdeb38077d7b72a5fbae0927a2e1a74bfc15f7
+Subproject commit ea486a185aa39a7fb3403d7e61d21f92c015ed15
diff --git a/docker/Dockerfile b/docker/Dockerfile
index 539b927e2e..369d759e31 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -15,12 +15,23 @@
 # Optional build args to skip vLLM or SGLang dependencies:
 #   --build-arg SKIP_VLLM_BUILD=1    # Skip vLLM dependencies
 #   --build-arg SKIP_SGLANG_BUILD=1  # Skip SGLang dependencies
+#
+# Custom setup (override the default apptainer install):
+#   docker buildx build --build-context custom-setup=my-setup-dir/ --build-arg CUSTOM_SETUP_FNAME=my_script.sh -f docker/Dockerfile ...
+#
+# To skip custom setup entirely:
+#   docker buildx build --build-arg CUSTOM_SETUP_FNAME= -f docker/Dockerfile ...
 
 ARG BASE_IMAGE=nvcr.io/nvidia/cuda-dl-base:25.05-cuda12.9-devel-ubuntu24.04
 FROM scratch AS nemo-rl
 ARG NRL_GIT_REF=main
 ADD --keep-git-dir=true https://github.com/NVIDIA-NeMo/RL.git#${NRL_GIT_REF} /
 
+# Default custom-setup stage: installs apptainer.
+# Override with: --build-context custom-setup=<your-dir>
+FROM scratch AS custom-setup
+COPY docker/install_apptainer.sh /
+
 FROM ${BASE_IMAGE} AS base
 # An environment variable to indicate that we are in a container.
 ENV NRL_CONTAINER=1
@@ -83,7 +94,7 @@ ENV RAY_USAGE_STATS_ENABLED=0
 # need to be compiled, so NeMo RL has an implementation in nemo_rl/utils/venv.py that does it once per node as opposed to once per task.
 ENV RAY_ENABLE_UV_RUN_RUNTIME_ENV=0
 ENV NEMO_RL_VENV_DIR=/opt/ray_venvs
-
+ENV NEMO_GYM_VENV_DIR=/opt/gym_venvs
 
 FROM base AS hermetic
 
@@ -105,6 +116,9 @@ ARG BUILD_CUSTOM_FLASHINFER_REF
 # Skip building vLLM or SGLang dependencies (set to any non-empty value to skip)
 ARG SKIP_VLLM_BUILD
 ARG SKIP_SGLANG_BUILD
+# Config paths (relative to repo root) whose NeMo Gym venvs should be prefetched.
+# Override to prefetch venvs for different configs, or set to empty to skip.
+ARG NEMO_GYM_PREFETCH_CONFIGS="examples/nemo_gym/grpo_workplace_assistant_nemotron_nano_v2_9b.yaml examples/nemo_gym/grpo_nanov3.yaml"
 
 ENV UV_PROJECT_ENVIRONMENT=/opt/nemo_rl_venv
 ENV UV_LINK_MODE=copy
@@ -112,23 +126,22 @@ ENV UV_LINK_MODE=copy
 # Ensure DeepEP is built for H100 and B200 (also mcore inference unified memory API now invokes a torch API that requires these to be set)
 ENV TORCH_CUDA_ARCH_LIST="9.0 10.0"
 
-# First copy only the dependency files
-COPY --from=nemo-rl pyproject.toml uv.lock ./
-# Copy in the top level __init__.py/package_info.py since build-custom-vllm.sh needs the nemo_rl package to exist.
-COPY --from=nemo-rl nemo_rl/__init__.py nemo_rl/package_info.py ./nemo_rl/
-COPY --from=nemo-rl tools/build-custom-vllm.sh ./tools/build-custom-vllm.sh
-COPY --from=nemo-rl tools/build-custom-flashinfer.sh ./tools/build-custom-flashinfer.sh
-COPY --from=nemo-rl --link research/ ./research/
-COPY --from=nemo-rl --link 3rdparty/ ./3rdparty/
+# Copy in source from build context (defaults to cloned repo, can be overridden)
+COPY --from=nemo-rl . /opt/nemo-rl
+# Unshallow the repo to get the full history (in the case it was from the scratch layer).
+# Potentially not necessary if the repo is passed in as a complete repository (w/ full git history),
+# so do a quick check before trying to unshallow.
+RUN git rev-parse --is-shallow-repository | grep -q true && git fetch --unshallow || true
 
 RUN --mount=type=ssh <<"EOF" bash -exu
 uv venv --seed
+# The custom build scripts will alter the pyproject.toml and uv.lock
 if [[ -n "${BUILD_CUSTOM_VLLM:-}" ]]; then
-    bash tools/build-custom-vllm.sh ${BUILD_CUSTOM_VLLM_URL} ${BUILD_CUSTOM_VLLM_REF} ${BUILD_CUSTOM_VLLM_PRECOMPILED_WHEEL_LOCATION}
+    UV_LINK_MODE=hardlink bash tools/build-custom-vllm.sh ${BUILD_CUSTOM_VLLM_URL:-} ${BUILD_CUSTOM_VLLM_REF:-} ${BUILD_CUSTOM_VLLM_PRECOMPILED_WHEEL_LOCATION:-}
     source 3rdparty/vllm/nemo-rl.env
 fi
 if [[ -n "${BUILD_CUSTOM_FLASHINFER:-}" ]]; then
-    bash tools/build-custom-flashinfer.sh ${BUILD_CUSTOM_FLASHINFER_URL} ${BUILD_CUSTOM_FLASHINFER_REF}
+    UV_LINK_MODE=hardlink bash tools/build-custom-flashinfer.sh ${BUILD_CUSTOM_FLASHINFER_URL:-} ${BUILD_CUSTOM_FLASHINFER_REF:-}
 fi
 # uv sync has a more reliable resolver than simple uv pip install which can fail
 
@@ -136,17 +149,44 @@ fi
 # to warm the uv cache, then at the end just sync the default dependencies.
 # Do everything in one layer to prevent large layers.
 
-# The venv is symlinked to avoid bloating the layer size
-uv sync --link-mode symlink --locked --no-install-project
+# The venv uses hardlinks to avoid bloating the layer size
+UV_LINK_MODE=hardlink uv sync --locked --no-install-project
 if [[ -z "${SKIP_VLLM_BUILD:-}" ]]; then
-    uv sync --link-mode symlink --locked --extra vllm --no-install-project
+    UV_LINK_MODE=hardlink uv sync --locked --extra vllm --no-install-project
 fi
 if [[ -z "${SKIP_SGLANG_BUILD:-}" ]]; then
-    uv sync --link-mode symlink --locked --extra sglang --no-install-project
+    UV_LINK_MODE=hardlink uv sync --locked --extra sglang --no-install-project
+fi
+UV_LINK_MODE=hardlink uv sync --locked --extra mcore --no-install-project
+UV_LINK_MODE=hardlink uv sync --locked --extra automodel --no-install-project
+UV_LINK_MODE=hardlink uv sync --locked --all-groups --no-install-project
+
+# Prefetch NeMo Gym internal venvs (for gym servers like code_gen, math, etc.)
+if [[ -n "${NEMO_GYM_PREFETCH_CONFIGS:-}" ]]; then
+    # Infer the index from RL's pyproject.toml. This ensures all venv creation that needs torch will use the RL prescribed version for consistency since RL dictates the container CUDA version.
+    UV_TORCH_BACKEND=$(uv run python -c "import tomllib,pathlib; indexes=tomllib.loads(pathlib.Path('pyproject.toml').read_text())['tool']['uv']['index']; print(next(i['name'].removeprefix('pytorch-') for i in indexes if i['name'].startswith('pytorch-')))") \
+    UV_LINK_MODE=hardlink uv run python examples/nemo_gym/prefetch_venvs.py $NEMO_GYM_PREFETCH_CONFIGS
+fi
+
+# Remove /tmp/ray because the previous script starts up a local ray cluster which creates a session
+# that we can just clean up.
+rm -rf /tmp/ray
+
+NEGATIVE_FILTERS=""
+if [[ -n "${SKIP_VLLM_BUILD:-}" ]]; then
+    NEGATIVE_FILTERS="$NEGATIVE_FILTERS vllm"
+fi
+if [[ -n "${SKIP_SGLANG_BUILD:-}" ]]; then
+    NEGATIVE_FILTERS="$NEGATIVE_FILTERS sglang"
+fi
+if [[ -n "$NEGATIVE_FILTERS" ]]; then
+    UV_LINK_MODE=hardlink uv run nemo_rl/utils/prefetch_venvs.py --negative-filters $NEGATIVE_FILTERS
+else
+    UV_LINK_MODE=hardlink uv run nemo_rl/utils/prefetch_venvs.py
 fi
-uv sync --link-mode symlink --locked --extra mcore --no-install-project
-uv sync --link-mode symlink --locked --extra automodel --no-install-project
-uv sync --link-mode symlink --locked --all-groups --no-install-project
+
+# Prune unreachable cache entries
+uv cache prune
 
 # Remove the aiohttp in this uv cache dir to fully address CVE GHSA-mqqc-3gqh-h2x8
 # The ray install will include the older aiohttp version in its cache
@@ -156,13 +196,23 @@ EOF
 ENV PATH="/opt/nemo_rl_venv/bin:$PATH"
 ENV NEMO_RL_VENV_DIR=/opt/ray_venvs
 
+# Custom setup layer (override with: --build-context custom-setup=<dir> --build-arg CUSTOM_SETUP_FNAME=<script>)
+# To skip: --build-arg CUSTOM_SETUP_FNAME=
+ARG CUSTOM_SETUP_FNAME=install_apptainer.sh
+RUN --mount=from=custom-setup,src=/,dst=/tmp/custom-setup <<"EOF" bash -exu
+if [[ -z "${CUSTOM_SETUP_FNAME}" ]]; then
+    echo "CUSTOM_SETUP_FNAME is empty, skipping custom setup"
+    exit 0
+fi
+cp /tmp/custom-setup/${CUSTOM_SETUP_FNAME} /opt/${CUSTOM_SETUP_FNAME}
+bash -x /opt/${CUSTOM_SETUP_FNAME}
+EOF
+
 WORKDIR /opt/nemo-rl
 
 FROM hermetic AS release
 
 # Re-declare build args for this stage
-ARG SKIP_VLLM_BUILD
-ARG SKIP_SGLANG_BUILD
 ARG NEMO_RL_COMMIT
 ARG NVIDIA_BUILD_ID
 ARG NVIDIA_BUILD_REF
@@ -174,30 +224,6 @@ ENV NVIDIA_BUILD_REF=${NVIDIA_BUILD_REF:-<unknown>}
 LABEL com.nvidia.build.id="${NVIDIA_BUILD_ID}"
 LABEL com.nvidia.build.ref="${NVIDIA_BUILD_REF}"
 
-ENV NEMO_RL_VENV_DIR=/opt/ray_venvs
-
-# Copy in source from build context (defaults to cloned repo, can be overridden)
-# Exclude pyproject.toml and uv.lock since those may be altered by build-custom-vllm.sh
-COPY --from=nemo-rl --exclude=pyproject.toml --exclude=uv.lock . /opt/nemo-rl
-# Unshallow the repo to get the full history (in the case it was from the scratch layer).
-# Potentially not necessary if the repo is passed in as a complete repository (w/ full git history),
-# so do a quick check before trying to unshallow.
-RUN git rev-parse --is-shallow-repository | grep -q true && git fetch --unshallow || true
-RUN <<"EOF" bash -exu
-NEGATIVE_FILTERS=""
-if [[ -n "${SKIP_VLLM_BUILD:-}" ]]; then
-    NEGATIVE_FILTERS="$NEGATIVE_FILTERS vllm"
-fi
-if [[ -n "${SKIP_SGLANG_BUILD:-}" ]]; then
-    NEGATIVE_FILTERS="$NEGATIVE_FILTERS sglang"
-fi
-if [[ -n "$NEGATIVE_FILTERS" ]]; then
-    UV_LINK_MODE=symlink uv run nemo_rl/utils/prefetch_venvs.py --negative-filters $NEGATIVE_FILTERS
-else
-    UV_LINK_MODE=symlink uv run nemo_rl/utils/prefetch_venvs.py
-fi
-EOF
-
 # Generate container fingerprint for frozen environment support
 # Store outside /opt/nemo-rl to avoid being overwritten by user mounts
 RUN python tools/generate_fingerprint.py > /opt/nemo_rl_container_fingerprint
diff --git a/docker/install_apptainer.sh b/docker/install_apptainer.sh
new file mode 100644
index 0000000000..92c5263846
--- /dev/null
+++ b/docker/install_apptainer.sh
@@ -0,0 +1,23 @@
+#!/bin/bash
+# Copyright (c) 2026, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+set -euo pipefail
+apt-get update
+apt-get install -y --no-install-recommends software-properties-common
+add-apt-repository -y ppa:apptainer/ppa
+apt-get update
+CODENAME=$(. /etc/os-release && echo "$VERSION_CODENAME")
+apt-get install -y --no-install-recommends apptainer=1.4.5-1~${CODENAME}
+ln -sf /usr/bin/apptainer /usr/bin/singularity
+apt-get clean && rm -rf /var/lib/apt/lists/*
diff --git a/docs/docker.md b/docs/docker.md
index dc55a19871..1038eb9563 100644
--- a/docs/docker.md
+++ b/docs/docker.md
@@ -62,3 +62,34 @@ When these build arguments are set, the corresponding `uv sync --extra` commands
 
 > [!NOTE]
 > If you skip vLLM or SGLang during the build but later try to use those backends at runtime, the dependencies will be fetched and built on-demand. This may add significant setup time on first use.
+
+## Custom Setup Commands
+
+By default, the Docker image installs [apptainer](https://apptainer.org/) (with a `singularity` symlink) via a pluggable `custom-setup` build stage. The default script is `docker/install_apptainer.sh`. You can override or skip this step at build time.
+
+### Override with a custom script
+
+Create a directory containing your setup script(s), then pass it as a build context along with the script filename:
+
+```sh
+# my-setup-dir/my_script.sh
+#!/bin/bash
+set -euo pipefail
+apt-get update && apt-get install -y my-custom-package
+apt-get clean && rm -rf /var/lib/apt/lists/*
+```
+
+```sh
+docker buildx build \
+  --build-context custom-setup=my-setup-dir/ \
+  --build-arg CUSTOM_SETUP_FNAME=my_script.sh \
+  -f docker/Dockerfile --tag <registry>/nemo-rl:latest .
+```
+
+### Skip custom setup entirely
+
+To build without any custom setup commands, set `CUSTOM_SETUP_FNAME` to empty:
+
+```sh
+docker buildx build --build-arg CUSTOM_SETUP_FNAME= -f docker/Dockerfile --tag <registry>/nemo-rl:latest .
+```
diff --git a/examples/nemo_gym/prefetch_venvs.py b/examples/nemo_gym/prefetch_venvs.py
new file mode 100644
index 0000000000..e6d01f3498
--- /dev/null
+++ b/examples/nemo_gym/prefetch_venvs.py
@@ -0,0 +1,134 @@
+# Copyright (c) 2026, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Prefetch NeMo Gym internal venvs by doing a dry run of NemoGym initialization.
+
+This complements nemo_rl/utils/prefetch_venvs.py (which prefetches Ray actor venvs)
+by also triggering NeMo Gym's own internal venv creation for its servers (code_gen,
+math, etc.). It reuses the real code path (create_env -> NemoGym.__init__) with
+dry_run=True so no actual policy model is needed.
+"""
+
+import argparse
+import sys
+
+import ray
+from omegaconf import OmegaConf
+
+from nemo_rl.distributed.virtual_cluster import init_ray
+from nemo_rl.environments.nemo_gym import (
+    NemoGymConfig,
+    get_nemo_gym_uv_cache_dir,
+    get_nemo_gym_venv_dir,
+)
+from nemo_rl.environments.utils import create_env
+from nemo_rl.utils.config import load_config, register_omegaconf_resolvers
+
+
+def prefetch_nemo_gym_venvs(config_paths: list[str]) -> None:
+    """Prefetch NeMo Gym venvs for each config by doing a dry-run initialization.
+
+    Args:
+        config_paths: List of paths to NeMo RL config files that contain
+            an env.nemo_gym section.
+    """
+    register_omegaconf_resolvers()
+    init_ray()
+
+    succeeded = []
+    failed = []
+
+    for config_path in config_paths:
+        print(f"\n{'=' * 60}")
+        print(f"Processing config: {config_path}")
+        print("=" * 60)
+
+        try:
+            config = load_config(config_path)
+            config = OmegaConf.to_container(config, resolve=True)
+
+            nemo_gym_dict = dict(config["env"]["nemo_gym"])
+            nemo_gym_dict["dry_run"] = True
+            uv_cache_dir = get_nemo_gym_uv_cache_dir()
+            if uv_cache_dir is not None:
+                nemo_gym_dict.setdefault("uv_cache_dir", uv_cache_dir)
+            uv_venv_dir = get_nemo_gym_venv_dir()
+            if uv_venv_dir is not None:
+                nemo_gym_dict.setdefault("uv_venv_dir", uv_venv_dir)
+
+            nemo_gym_config = NemoGymConfig(
+                model_name="dummy-model",
+                base_urls=["http://localhost:8000"],
+                initial_global_config_dict=nemo_gym_dict,
+            )
+
+            print("Creating NeMo Gym environment (dry_run=True)...")
+            nemo_gym = create_env(env_name="nemo_gym", env_config=nemo_gym_config)
+
+            print("Waiting for NeMo Gym to finish initialization...")
+            ray.get(nemo_gym.health_check.remote())
+            print("NeMo Gym initialized successfully.")
+
+            # TODO: Hangs... (DONT MERGE UNTIL FIXED - but kill may be fine)
+            # print("Shutting down NeMo Gym environment...")
+            # ray.get(nemo_gym.shutdown.remote())
+            print("Killing NeMo Gym actor...")
+            ray.kill(nemo_gym)
+
+            succeeded.append(config_path)
+            print(f"Done with config: {config_path}")
+
+        except Exception as e:
+            print(f"Error processing {config_path}: {e}")
+            failed.append((config_path, str(e)))
+
+    print(f"\n{'=' * 60}")
+    print("NeMo Gym venv prefetch summary")
+    print("=" * 60)
+    print(f"  Succeeded: {len(succeeded)}")
+    for path in succeeded:
+        print(f"    - {path}")
+    if failed:
+        print(f"  Failed: {len(failed)}")
+        for path, err in failed:
+            print(f"    - {path}: {err}")
+
+    if failed:
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Prefetch NeMo Gym internal venvs via dry-run initialization.",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""\
+Examples:
+  # Prefetch venvs for a single config
+  uv run python examples/nemo_gym/prefetch_venvs.py \\
+    examples/nemo_gym/grpo_workplace_assistant_nemotron_nano_v2_9b.yaml
+
+  # Prefetch venvs for multiple configs sequentially
+  uv run python examples/nemo_gym/prefetch_venvs.py \\
+    examples/nemo_gym/grpo_workplace_assistant_nemotron_nano_v2_9b.yaml \\
+    examples/nemo_gym/grpo_qwen3_30ba3b_instruct.yaml
+""",
+    )
+    parser.add_argument(
+        "configs",
+        nargs="+",
+        help="One or more NeMo RL config file paths containing an env.nemo_gym section.",
+    )
+    args = parser.parse_args()
+
+    prefetch_nemo_gym_venvs(args.configs)
diff --git a/examples/nemo_gym/run_grpo_nemo_gym.py b/examples/nemo_gym/run_grpo_nemo_gym.py
index 387baf3758..393e0b6917 100644
--- a/examples/nemo_gym/run_grpo_nemo_gym.py
+++ b/examples/nemo_gym/run_grpo_nemo_gym.py
@@ -43,6 +43,8 @@
 from nemo_rl.distributed.virtual_cluster import init_ray
 from nemo_rl.environments.nemo_gym import (
     NemoGymConfig,
+    get_nemo_gym_uv_cache_dir,
+    get_nemo_gym_venv_dir,
     setup_nemo_gym_config,
 )
 from nemo_rl.environments.utils import create_env
@@ -207,10 +209,17 @@ def main() -> None:
     is_trajectory_collection = (
         config["env"]["nemo_gym"].pop("is_trajectory_collection", False) or False
     )
+    nemo_gym_dict = config["env"]["nemo_gym"]
+    uv_cache_dir = get_nemo_gym_uv_cache_dir()
+    if uv_cache_dir is not None:
+        nemo_gym_dict.setdefault("uv_cache_dir", uv_cache_dir)
+    uv_venv_dir = get_nemo_gym_venv_dir()
+    if uv_venv_dir is not None:
+        nemo_gym_dict.setdefault("uv_venv_dir", uv_venv_dir)
     nemo_gym_config = NemoGymConfig(
         model_name=policy_generation.cfg["model_name"],
         base_urls=policy_generation.dp_openai_server_base_urls,
-        initial_global_config_dict=config["env"]["nemo_gym"],
+        initial_global_config_dict=nemo_gym_dict,
     )
     nemo_gym = create_env(env_name="nemo_gym", env_config=nemo_gym_config)
     # Blocking wait for NeMo-Gym to spin up
diff --git a/nemo_rl/environments/nemo_gym.py b/nemo_rl/environments/nemo_gym.py
index d571f1a93f..b7ccd9fa74 100644
--- a/nemo_rl/environments/nemo_gym.py
+++ b/nemo_rl/environments/nemo_gym.py
@@ -11,8 +11,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import os
+import subprocess
 from pathlib import Path
-from typing import Any, Dict, List, TypedDict
+from typing import Any, Dict, List, Optional, TypedDict
 
 import ray
 import torch
@@ -23,6 +25,30 @@
 from nemo_rl.utils.timer import Timer
 
 
+def get_nemo_gym_uv_cache_dir() -> Optional[str]:
+    """Return the uv cache directory inside a container, or None outside one.
+
+    Inside a container (NRL_CONTAINER=1), returns the uv cache location so Gym
+    stores its caches in the expected shared path. Returns None outside a
+    container, meaning the caller should omit this arg and let Gym create the
+    cache locally (the default when you may not be able to write to /opt).
+    """
+    if not os.environ.get("NRL_CONTAINER"):
+        return None
+    return subprocess.check_output(["uv", "cache", "dir"]).decode().strip()
+
+
+def get_nemo_gym_venv_dir() -> Optional[str]:
+    """Return the NeMo Gym venv directory from NEMO_GYM_VENV_DIR, or None.
+
+    Returns the value of NEMO_GYM_VENV_DIR if set, otherwise None. When None
+    the caller should omit this arg and let Gym create venvs locally (the
+    default when a container is not used since you may not be able to write
+    to /opt).
+    """
+    return os.environ.get("NEMO_GYM_VENV_DIR")
+
+
 class NemoGymConfig(TypedDict):
     model_name: str
     base_urls: List[str]
diff --git a/uv.lock b/uv.lock
index e0c3cda97f..1b500ec4fc 100644
--- a/uv.lock
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 version = "2.6.1"
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