The AI chip giant has taken the wraps off its latest compute platform designed for test-time scaling and reasoning models, alongside a slew of open source models for robotics and autonomous driving.

For years, it seemed obvious that the best way to scale up artificial intelligence models was to throw more upfront computing resources at them. The theory was that performance improvements are ...

CES 2026: Nvidia Expands From Chips Into Full AI Platforms Your email has been sent At CES 2026, Jensen Huang said Nvidia is scaling full AI systems as reasoning, agents, and physical AI drive ...

The expectations for GenAI are unreasonably high and the pressure on Nvidia is tectonic. As we listened to the call with Wall Street going over the financial results for Nvidia’s second quarter of ...

Although genAI hardly needs more market validation, the new energy members, GE Vernova and NextEra Energy, may help support the massive power needs of AI data centers. An industry generative ...

Today’s GenAI arms race is fought with novel chip architectures and packaging. Specialized hardware designs are proliferating in the form of GPUs, TPUs, NPUs, and more, all tuned for parallelism and ...