Initially trained on NVIDIA H800 GPUs, the Ascend 910C chips are set to rival NVIDIA's H100. Mass production of these chips is anticipated to start in early 2025. DeepSeek's game-changing R1 model ...

According to the paper, the company trained its V3 model on a cluster of 2,048 Nvidia H800 GPUs - crippled versions of the H100. The H800 launched in March 2023, to comply with US export ...

“Even DeepSeek used Nvidia H800 chips to train its R1 model, so Nvidia's continued relevance in AI infrastructure is evident,” added Oliver Rodzianko in “Nvidia Stock: Buy The DeepSeek Fear ...

As for the hardware, DeepSeek used Nvidia H800 GPUs, which are modified from typically used H100 GPUs to abide by U.S. export restrictions. With a large number of consumers trying out DeepSeek's ...

Worse for Nvidia, the state-of-the-art V3 LLM was trained on just 2,048 of Nvidia’s H800 GPUs over two months, equivalent to about 2.8 million GPU hours, or about one-tenth the computing power ...

A big price to pay The difference between the H800 chips DeepSeek used and the H100 chips typically used by data centers is the former are dumbed-down versions that Nvidia significantly reduced ...

Nvidia CEO Jensen Huang saw his personal fortune tumble on Monday amid turbulence in U.S. tech stocks. His net worth hit $103.7 billion by the end of the trading day, marking a $20.8 billion ...

DeepSeek uses Nvidia's H800 chips, which comply with US export controls. The Chinese startup has restricted new user sign-ups due to cyber attacks. Image credit: Reuters Nvidia has emphasized that ...

So, DeepSeek (and other Chinese AI firms) used Nvidia H800 GPUs, which are watered-down H100 GPUs, to meet export regulations. These aren't as powerful, so DeepSeek's engineers had to figure out a ...

DeepSeek claimed its chatbot was trained on 2,000 Nvidia H800 GPUs at a cost of less than $6 million — though critics have cast doubt on that figure. DeepSeek's emergence roiled U.S. tech stocks ...