AI Briefing#deep-learning-infrastructure
The latest AI and developer news about #deep-learning-infrastructure, with the original source and a short summary.
The latest AI and developer news about #deep-learning-infrastructure, with the original source and a short summary.
An open-source kernel has been released that enables efficient training of MiniMax Sparse Attention (MSA) on Hopper and Blackwell GPUs.
Proposes CODA, a GPU kernel abstraction that uses the GEMM-Epilogue approach to solve the memory bottleneck in Transformer training.