⬢github first seen 9 h ago, last 8 min ago, peak #9
DeepSeek open-sources DeepGEMM GPU kernel library
Original: deepseek-ai/DeepGEMM
Chinese AI firm DeepSeek has released DeepGEMM, an open-source library of clean, efficient BLAS matrix-multiplication kernels for GPUs, written in CUDA. The project is drawing attention on GitHub among developers working on high-performance AI infrastructure, as fast matrix math is central to training and running large language models efficiently.
Why now: Developers are closely following DeepSeek's open-source AI tooling releases amid intense interest in efficient GPU compute.
DeepSeekDeepGEMMGitHubNVIDIA CUDA
Rank over time, top of the chart is #1. 24 snapshots from 5 h ago to 8 min ago.
Evidence
- deepseek-ai/DeepGEMM · deepseek-ai · 16
DeepGEMM: clean and efficient BLAS kernel library on GPU
API: https://socialmediatrends-api.osmike.com/v1/trends/1227357