Tom’s Hardware illustrated that: DeepSeek trained its DeepSeek-V3 Mixture-of-Experts (MoE) language model with 671 billion parameters using a cluster containing 2,048 Nvidia H800 GPUs in just ...

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 ...

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 ...

Earlier this week, DeepSeek claimed that it had trained its R1 chatbot on its -V3 LLM which cost the company just $5.6 million and using far less advanced chips (Nvidia H800 chips) than US companies ...

SoftBank Group is in talks to lead a funding round of up to $40 billion in artificial intelligence developer OpenAI at a valuation of $300 billion, including the new funds, sources said, in what ...

as DeepSeek’s efficient use of Nvidia H800 chips raised concerns about the competitive landscape. Nasdaq composite: The broader market also felt the effects, with the Nasdaq Composite Index ...

TL;DR: The Trump administration is considering increased sanctions on NVIDIA AI chip sales to China, focusing on the H20 AI GPUs. These GPUs are designed to comply with US export restrictions.

DeepSeek attracted global attention after writing in a paper last month that the training of DeepSeek-V3 required less than $6 million worth of computing power from Nvidia H800 chips. "The CNIL's AI ...

OpenAI Chief Executive Sam Altman said on X. DeepSeek’s model uses Nvidia H800, a chip that's far less expensive than the ones major U.S. large language model builders are using. This has ...