gpu-mode/resource-stream resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2303 stars · 139 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A community-curated collection of links to CUDA and GPU programming resources, including books, papers, blog posts, YouTube videos, tweets, and implementations. Maintained by the GPU MODE community, it also covers higher-level kernel development and performance optimization tools such as Triton and torch.compile().

Use cases

• learn CUDA programming from scratch
• find a curated reading list for GPU kernel development
• discover CUDA tutorials, papers, and lecture videos
• learn Triton and GPU performance optimization
• resources for writing fast GPU kernels
• get started with GPU programming for machine learning systems

When to choose

• You want a community-vetted starting point for learning CUDA and GPU programming
• You are looking for lectures, papers, and videos on kernel development and MLSys topics
• You want to follow a structured learning path from CUDA basics to advanced optimization with tools like Triton

When to avoid

• You need runnable software, a library, or a tool rather than links to external resources
• You need official, authoritative NVIDIA documentation instead of community-curated links
• You need structured or machine-readable data, since the content is a markdown list of links

Facets

learning-resource · maturity active

gpu-computing developer-tools gpu-computing machine-learning awesome-lists tutorials developer-tools cross-platform cuda gpu triton kernel-development curated-list performance-optimization mlsys torch-compile nvidia lectures

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gpu-mode/resource-stream")