From @clausaasholm "the downgraded [Nvidia] H20 system that passes the embargo rules ... language model on a cluster of 2,048 Nvidia H800 GPUs and that it took two months, a total of 2.8 million ...

"The downgraded H20 system that passes the embargo rules for ... language model on a cluster of 2,048 Nvidia H800 GPUs and that it took two months, a total of 2.8 million GPU hours.

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 ...

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 ...

In a research paper released last month, DeepSeek said it had trained its V3 model using just 2,048 of Nvidia’s H800 chips. Nvidia specifically created the less-power H800 for sale to Chinese ...

It was achieved on cheap, underpower H800 chips from Nvidia, while outperforming across ... and operational data users input into the system, making it a potentially major national security ...

Nvidia (NVDA) is facing a new threat, and it’s not a rival chipmaker. On Monday, China announced it is launching an antitrust probe into Nvidia’s $7 billion acquisition of networking ...

Perhaps no stock was more profoundly affected by the news from DeepSeek than Nvidia (NASDAQ: NVDA). In a sense, DeepSeek validated its dominance by announcing its H800 accelerators trained its ...

Nvidia's tailored A800, H800, and H20 chips remain critical for AI growth, with 1 million H20 chips potentially generating $12B in sales. 3 Summer "Power Patterns" Are About to Trigger (One With ...