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

The clearest evidence: According to a recent industry analysis, OpenAI secured roughly a 30% discount on its latest Nvidia ...

In contrast, Google tensor processing units (TPUs) are chips designed exclusively for the mathematical operations used in machine learning. They are engineered to perform highly c ...

Google’s efforts to sell or lease its artificial intelligence server chips so they can run in any company’s data center—and not just in Google Cloud—have generated headlines, stock moves and a ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain ...

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

Nvidia's AI monopoly fractures as Google Gemini 3 and Anthropic Claude 4.5 defect to custom TPUs. This seismic shift ...

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 ...

Nvidia's Data Center revenue hit $51.2B in Q3 FY 2026, soaring 25% QoQ and 66% YoY, driving most total company sales. Click ...

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