NVIDIA/accelerated-computing-hub resource
NVIDIA curated collection of educational resources related to general purpose GPU programming. observed · 2026-08-28
Health v2 · maintenance only
68/100
- Activity 99
- Release rhythm 35
- Longevity 57
Flags: no_releases no_license
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: 810
- days_rel: n/a
- days_push: 8
- n_releases_24m: 0
Adoption not part of the score
1935 stars · 327 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
NVIDIA's curated hub of open educational materials for GPU computing, including interactive Jupyter notebook tutorials on CUDA C++, CUDA Python, stdpar, Warp, and nvmath-python. Tutorials are deployable via Docker Compose, NVIDIA Brev, or Google Colab.
Use cases
- learn CUDA C++ programming from scratch
- learn CUDA Python with CuPy and cuDF
- accelerate NumPy code on GPUs
- learn GPU parallel programming with standard parallelism
- run hands-on GPU tutorials on Colab or Brev
- find best practices for GPU optimization
When to choose
- you want official NVIDIA-authored GPU programming tutorials
- you prefer interactive Jupyter notebooks runnable in the cloud
- you are teaching or self-studying CUDA or accelerated Python
When to avoid
- you need production GPU software rather than learning materials
- you have no access to NVIDIA GPUs or cloud GPU instances
- you need a supported product with SLAs rather than open educational content
Facets
learning-resource · maturity active
gpu-computing developer-tools gpu-computing tutorials developer-tools python cross-platform cuda nvidia jupyter-notebooks tutorials gpu-programming education gpu
1 source
- readme: https://github.com/NVIDIA/accelerated-computing-hub · fetched 2026-08-28 · e98f9a652f9e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA/accelerated-computing-hub | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="NVIDIA/accelerated-computing-hub")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem