Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

Current custom AI hardware devices are built around super-efficient, high performance matrix multiplication. This category of accelerators includes the host of AI chip startups and defines what more ...

I was in a meeting last week raging about the stupidity of nvidia's current valuation. They fell into this completely by accident, TWICE (crypto and now LLMs). There is no guarantee that GPUs will be ...