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.

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

Google’s new TPU generations, including Trillium and Ironwood, are emerging as the strongest challenge yet to Nvidia’s GPU ...

Programming model moves from managing thousands of low-level threads to working with high-level ‘tiles of data’ ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...

Nvidia's AI monopoly fractures as Google Gemini 3 and Anthropic Claude 4.5 defect to custom TPUs. This seismic shift pressures margins and ends the GPU era.