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 ...

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

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are they so important? In this video, we break down the concept of tensors in ...

For Python application developers looking to harness the power of machine learning, understanding the foundational tools is critical. Among those tools is PyTorch, a leading open-source machine ...