Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

The effort is part of Google's aggressive plan to make its Tensor Processing Units a viable alternative to Nvidia's ...

Google is intensifying efforts to make its proprietary artificial intelligence hardware more compatible with the industry’s leading software, a move aimed at challenging NVIDIA Corp’s (NASDAQ:NVDA) ...

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from ...

Nvidia stock was falling Wednesday as the chip maker faces an increasing number of rivals in the U.S. and China.

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Ben Koska, Founder and CEO of SF Tensor, is an AI researcher and systems engineer known for his work on high-performance ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

Google’s TPUs cannot dethrone Nvidia’s GPUs. But, there is a bigger challenge that can seriously threaten Nvidia’s growth trajectory.