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* feat(sandbox): default to official Alpine sandbox image default_sandbox_image() now returns docker.io/library/alpine:3.22, a generic version-qualified official image, so a fresh install no longer depends on the community sandbox image catalog. All compute drivers (docker, podman, kubernetes, vm) inherit this fallback. Part of #3116. Signed-off-by: Akram Signed-off-by: Akram <akram.benaissi@gmail.com> * feat(deploy): default deployment configs to the official Alpine sandbox image Update the shared gateway default_image, Helm chart values, the standalone Kubernetes manifest, and the dev gateway task scripts to use docker.io/library/alpine:3.22 instead of the community base image, consistent with default_sandbox_image(). GPU e2e image-build base is left unchanged (CUDA needs a glibc base). Part of #3116. Signed-off-by: Akram Signed-off-by: Akram <akram.benaissi@gmail.com> * feat(driver): default to numeric non-root identity for USER-less images With the default sandbox image now Alpine, images that declare no OCI USER must start instead of being rejected. When the image declares no USER and the policy requests none, the Podman and Docker drivers now supply a numeric non-root identity (DEFAULT_SANDBOX_UID/GID = 1000) instead of rejecting, matching the numeric-identity behavior of the Kubernetes and VM drivers. The supervisor's resolved-identity path runs the sandbox as a synthesized non-root account without the account existing in the image. Images that declare a USER keep the OCI resolution path unchanged. Part of #3116. Signed-off-by: Akram <akram.benaissi@gmail.com> Signed-off-by: Evan Lezar <elezar@nvidia.com> * test(conformance): use Alpine workload image Signed-off-by: Evan Lezar <elezar@nvidia.com> * refactor(policy): drop community image /app path from default policy The restrictive default policy granted read-only access to /app, a directory that only existed in the community base image. A generic Alpine default has no /app, so remove it. Landlock best-effort already ignores absent paths; this just stops advertising a community-specific layout in the default. Part of #3116. Signed-off-by: Akram Signed-off-by: Akram <akram.benaissi@gmail.com> * docs(config): document Alpine default images Signed-off-by: Evan Lezar <elezar@nvidia.com> * fix(podman): report early sandbox termination Signed-off-by: Evan Lezar <elezar@nvidia.com> * fix(podman): initialize rootless workspace ownership Signed-off-by: Evan Lezar <elezar@nvidia.com> * fix(sandbox): qualify NVIDIA Ubuntu default Signed-off-by: Drew Newberry <anewberry@nvidia.com> * fix(podman): initialize rootful default workspace Signed-off-by: Drew Newberry <anewberry@nvidia.com> * feat(sftp): add native sandbox adapter Signed-off-by: Drew Newberry <anewberry@nvidia.com> * fix(sftp): gate runtime helper support to Linux Signed-off-by: Drew Newberry <anewberry@nvidia.com> * fix(sftp): support standard OpenSSH file operations Signed-off-by: Drew Newberry <anewberry@nvidia.com> * fix(sftp): harden rename and special file handling Signed-off-by: Drew Newberry <anewberry@nvidia.com> * refactor(runtime): remove community image dependencies Signed-off-by: Drew Newberry <anewberry@nvidia.com> * test(e2e): build provider readiness tool fixture Signed-off-by: Drew Newberry <anewberry@nvidia.com> * fix(e2e): use a dedicated Noble fixture for Docker tests Signed-off-by: Evan Lezar <elezar@nvidia.com> --------- Signed-off-by: Akram Signed-off-by: Akram <akram.benaissi@gmail.com> Signed-off-by: Evan Lezar <elezar@nvidia.com> Signed-off-by: Drew Newberry <anewberry@nvidia.com> Co-authored-by: Evan Lezar <elezar@nvidia.com> Co-authored-by: Drew Newberry <anewberry@nvidia.com>
GPU workload CUDA basic
cuda-basic validates that a GPU-enabled environment can run a basic CUDA
runtime workload. It is a single image that runs two validation steps:
deviceQuerychecks CUDA runtime, driver, and device discovery.vectorAddchecks kernel launch, device memory allocation, host/device copies, synchronization, and result validation.
The image builds the samples from NVIDIA/cuda-samples tag v12.8 with a CUDA
12.8 builder image, then copies only the compiled binaries into the OpenShell
default workload final image.
The workload prints OPENSHELL_GPU_WORKLOAD_SUCCESS only after both samples
pass. On failure it prints OPENSHELL_GPU_WORKLOAD_FAILURE and exits non-zero.
Build it with:
mise run e2e:workloads:build
That command also refreshes the local workload manifest at
e2e/gpu/images/.build/workloads.yaml.
To build only this workload locally, set:
OPENSHELL_GPU_WORKLOAD_IMAGES=cuda-basic mise run e2e:workloads:build
Run it directly with Docker CDI:
source e2e/gpu/images/.build/latest.env
docker run --rm --device nvidia.com/gpu=all \
"${OPENSHELL_E2E_GPU_CUDA_WORKLOAD_IMAGE}"
Use podman run with the same --device nvidia.com/gpu=all option when Podman
CDI is configured.
The image does not vendor GPU driver libraries such as libcuda.so.1. Those
libraries must be provided by the host GPU runtime or CDI injection.
The CUDA samples are redistributed under the NVIDIA CUDA samples license. The
license text is copied into the image at
/usr/local/share/doc/openshell-gpu-workload/cuda-samples.LICENSE.