Open source gpu-acceleration projects
Every project in the registry tagged gpu-acceleration, ranked by real GitHub adoption.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Turn an old Android phone into a GPU-accelerated Linux desktop (XFCE4 / KDE Plasma / LXQt / MATE) or a Home Assistant smart home server — using Termux. No root,
Fast, red-teaming browser built for AI agents, with direct HTTP traffic control, sandboxed execution, and auditable sessions. Pure Rust.
Frequently asked questions
How many open source gpu-acceleration projects are there?
This registry tracks 3 projects tagged gpu-acceleration, with 8,711 GitHub stars between them. The most-adopted is GenerativeAIExamples at 4,210 stars.
Are these gpu-acceleration projects free to use?
Yes — 3 of the 3 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which gpu-acceleration project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these gpu-acceleration projects still maintained?
3 of the 3 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.