dhi.io/nvidia-cuda
NVIDIA CUDA
NVIDIA CUDA base image. The runtime variant ships the CUDA runtime libraries (cudart, cublas, cufft, curand, cusolver, cusparse, npp); the dev variant adds the nvcc compiler and development headers. Intended as a base image for GPU-accelerated workloads.
pushed 13 hours ago
linux/amd64, linux/arm64
1.62 GB
for linux/amd64
208
for linux/amd64
Active support
-
Build Level 3
Tamper-evident proof of how and from what sources this image was built. Build Level 3 is the highest the SLSA build track defines.
CycloneDX SBOM + SPDX SBOM
A software bill of materials in both CycloneDX and SPDX formats so it drops straight into your existing tooling. Audit exactly what you're shipping.
A Vulnerability Exploitability exchange document, Docker's assessment of which CVEs actually affect this image and which don't apply, so you can focus on real risk instead of chasing false positives.
Available
A link to everything used to build the image, package source code, Git repos, and build files, so you can audit or reproduce the build and stay compliant with open source licenses.
Every known vulnerability in this image, shown in full rather than hidden. The VEX data flags which ones actually apply, so you can tell real exposure from noise before you ship.
Exactly what changed in this build, down to the package bumps and fixes behind the version you're pulling.
Verifies no keys, tokens, or credentials were accidentally baked into the image.
The image layers were scanned for known malware signatures before publishing.
About NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model for general-purpose computing on NVIDIA GPUs. This image provides the CUDA runtime libraries needed to execute GPU-accelerated workloads, and in the dev variant the nvcc compiler and development headers for building CUDA applications. The image is intended as a base for downstream ML, HPC, and scientific computing images.
The image follows NVIDIA's standard container conventions and is compatible with the NVIDIA Container Toolkit
(--gpus all). For full documentation, see docs.nvidia.com/cuda.
About Docker Hardened Images
Docker Hardened Images are built to meet the highest security and compliance standards. They provide a trusted foundation for containerized workloads by incorporating security best practices from the start.
Why use Docker Hardened Images?
These images are published with near-zero known CVEs, include signed provenance, and come with a complete Software Bill of Materials (SBOM) and VEX metadata. They're designed to secure your software supply chain while fitting seamlessly into existing Docker workflows.
Trademarks
NVIDIA, CUDA, and cuDNN are trademarks of NVIDIA Corporation. All rights in these marks are reserved to NVIDIA Corporation. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.
This image distributes the NVIDIA CUDA Toolkit under the NVIDIA CUDA Toolkit End User License Agreement (https://docs.nvidia.com/cuda/eula/). The cudnn variants additionally distribute NVIDIA cuDNN under the cuDNN Supplement to the NVIDIA Software License Agreement (https://docs.nvidia.com/deeplearning/cudnn/sla/). By using this image you accept the terms of the applicable license.
This listing is prepared by Docker. All third-party product names, logos, and trademarks are the property of their respective owners and are used solely for identification. Docker claims no interest in those marks, and no affiliation, sponsorship, or endorsement is implied.