NVIDIA/nvidia-container-toolkit
Build and run containers leveraging NVIDIA GPUs
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
2 releases in the last 90 days, the latest 38 days ago, with 62 contributors on GitHub.
Gained 44% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Enables building and running containers that utilize NVIDIA GPUs for hardware acceleration.
- Automatically configures containers to leverage NVIDIA GPU resources without requiring CUDA Toolkit on the host.
- Use for deploying GPU-accelerated machine learning workloads in containerized environments.
- Use for running high-performance computing applications that require direct GPU access inside containers.
- Use for integrating GPU support into CI/CD pipelines to test and validate GPU-dependent software in isolated containers.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
The NVIDIA Container Toolkit allows users to build and run GPU-accelerated containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs.
Product documentation including an architecture overview, platform support, and installation and usage guides can be found in the documentation repository.
Make sure you have installed the NVIDIA driver for your Linux Distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed
For instructions on getting started with the NVIDIA Container Toolkit, refer to the installation guide.
The user guide provides information on the configuration and command line options available when running GPU containers with Docker.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
609+52
Open issues
71+15
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| NVIDIA/nvidia-container-toolkit | 4.6K | — | 63 | 38 days ago |
| Category median | 56.0K | +2.3K | 29 | — |
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