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NVIDIA/nvidia-docker resource

Build and run Docker containers leveraging NVIDIA GPUs observed · 2026-08-28

github.com/NVIDIA/nvidia-docker · Apache-2.0 (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3955
  • days_rel: n/a
  • days_push: 1001
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

17591 stars · 2052 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

NVIDIA's original tooling for building and running Docker containers that leverage NVIDIA GPUs, providing CUDA support inside containers. The repository is archived and deprecated in favor of the NVIDIA Container Toolkit.

Use cases

  • run docker containers with nvidia gpu access
  • use cuda inside docker containers
  • gpu-accelerated machine learning in containers
  • legacy nvidia-docker setup on older systems

When to choose

  • you must maintain a legacy setup that still uses the nvidia-docker1 wrapper
  • you need historical reference for how GPU container integration evolved

When to avoid

  • setting up GPU containers on any modern system - use NVIDIA Container Toolkit instead
  • new projects requiring supported GPU container tooling
  • environments needing active maintenance or security updates

Facets

infra-config · maturity abandoned

container-runtime gpu-computing developer-tools gpu-computing machine-learning nvidia cuda docker deprecated superseded containers devops linux gpu

1 source

Member repositories

RepositoryRoleHealth v2
NVIDIA/nvidia-dockermain10

For agents

markdown · JSON · MCP: product_card(name="NVIDIA/nvidia-docker")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem