Google's TPU chips position it as a viable Nvidia competitor, targeting a significant share of the AI data center market.

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

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

Google said Gemini 3 Pro outperforms OpenAI GPT-5.1 and Claude Sonnet 4.5 across significant independent AI benchmarks, ...

Embracing the Chocolate Factory's tensor processing units would be easier said than done for The Social Network ...

Meta considers Google AI chips, challenging Nvidia’s dominance. Discover how this shift could impact NVDA, GOOG, and AMD ...

Google is picking up the pace of its efforts to compete directly with Nvidia in the AI chip business. For years, the search ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

"Artificial Intelligence +" is no longer just an idea. Fueled by rapid technological advances, evolving regulatory frameworks ...

The Firefly EC-ThorT5000 is an industrial edge AI PC built around NVIDIA’s new Jetson T5000 Thor series module, with up to ...

The E4S Project, today announced the immediate availability of E4S Release 25.11. E4S, an HPSF project, is the - Read more ...

VeriSilicon (688521.SH) recently announced the joint launch of the Coral NPU IP with Google, targeting always-on, ultra-low-energy edge Large Language Model (LLM) applications. The IP is based on ...