DeepSeek open-sources DeepGEMM, a clean and efficient GPU BLAS kernel library, now 8.5k stars
deepseek-ai · github · 2026-10-06
DeepSeek officially open-sourced DeepGEMM, a clean and efficient BLAS kernel library for GPUs written in CUDA. The project is climbing GitHub trending with 8,534 stars (+363 today).
Focused on high-performance matrix computation on GPUs, DeepGEMM is a core piece of DeepSeek's training infrastructure and a valuable reference for kernel engineering and training/inference optimization.
More from Infra
- Dev's custom vLLM patch runs DiffusionGemma on DGX Spark, edging out the commercial API — vllm_project · 2026-10-06
- Cloudflare launches cf, an agent-first CLI to query observability data via the API — dinasaur_404 · 2026-10-06
- Building a local LLM agent stack on a 128GB Mac Studio: Reddit thread weighs inference layer options — DrainBramage · 2026-10-06
- Polars 2.0 ships: streaming by default, SQL first-class, beats DuckDB on TPC-H — banteg · 2026-10-06
- Qwen3-Next-80B on a 3090 with 16GB RAM: ~3x decode speedup via MoE expert substitution — Zestyclose_Reality15 · 2026-10-06
- Disco a dangerous short after HBM despec news; H2 China demand may flip — zephyr_z9 · 2026-10-06