More than 100,000 of Alibaba’s most recent AI chips have entered the market, marking a significant step in China’s efforts to ...

Decentralized GPU networks are pitching themselves as a lower-cost layer for running AI workloads, while training the latest ...

Running both phases on the same silicon creates inefficiencies, which is why decoupling the two opens the door to new ...

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...

Google introduces TranslateGemma, a open translation model built on Gemma 3 which helps translation across 55 languages on ...

In effect, memory becomes a record of the agent's reasoning process, where any prior node may be recalled to inform future ...

Moonshot AI has released Kimi K2.5, a 1-trillion parameter model capable of orchestrating 100-agent swarms. Discover the technology behind PARL, the visual coding capabilities, and the steep $500k ...

The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...

This decision represents far more than a new product launch; it is the culmination of Nvidia's push to become a one-stop silicon provider for AI and ...