AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...

Forgive me for starting with a cliché, a piece of finance jargon that has recently slipped into the tech lexicon, but I’m afraid I must talk about “moats.” Popularized decades ago by Warren Buffett to ...

When Nvidia first showed off its Compute Unified Device Architecture (CUDA) parallel computing platform in 2006, it was a multibillion-dollar bet that failed to turn a profit for a decade. Today, it ...

NVIDIA releases cuTile.jl, enabling Julia developers to write high-performance GPU kernels using tile-based programming with near-parity Python performance. NVIDIA has extended its tile-based GPU ...

Shrishty is a decade-old journalist covering a variety of beats between politics to pop culture, but movies are her first love, which led her to study Film and TV Development at UCLAx. She lives and ...

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...

Abstract: Tiled matrix multiplication is a core operation in high-performance computing and deep learning, where optimal selection of tile sizes is critical to maximize computational efficiency and ...