It also claims to have used just 2,000 Nvidia chips that it obtained before US export restrictions were put in place. (OpenAI says it used 25,000 of the more powerful Nvidia H100 chips to build ...

Nvidia's H100 chips cost $25,000 each, so 50,000 chips would have cost $1.25 billion. That's far higher than the asserted development price tag of $5.6 million.

AI will need more computing power, not less. DeepSeek claimed it had trained its R1 model for a fraction of the cost and computing power of US models, causing a sharp drop in Nvidia’s stock price.

Chinese tech conglomerate Huawei is looking to take on semiconductor behemoth Nvidia with a new advanced AI chip. Huawei is making progress developing its latest Ascend AI GPU, the Ascend 910D ...

Reaching Nvidia H100 performance levels won't be easy for Huawei. The company's latest dual-chiplet Ascend 910C offers around 780 BF16 TFLOPS of performance, whereas Nvidia's H100 can deliver ...

Nvidia to use optical tech in networking chips, not GPUs Copper cables currently more reliable than optical connections Nvidia has backed startups working on co-packaged optics for AI chips SAN ...

And they show off how the raw power of Nvidia chips plays a large part in AI as a field. The "acceleration" of AI is a story that isn't known as much as it should be, said Catanzaro.