In 2022, the US blocked the importation of advanced Nvidia GPUs ... The H800 launched in March 2023, to comply with US export restrictions to China, and features 80GB of HBM3 memory with 2TB ...

“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 ...

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 ...

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 ...

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 ...

A part of the reason NVIDIA took such a stock hit was DeepSeek, saying it trained its R1 model using H800 GPUs, which were released in 2023. The sentiment is - why pay for new and expensive NVIDIA ...

More importantly, DeepSeek's R1 model has similar performance to ChatGPTs o1 despite being developed for $6 million using less advanced Nvidia H800 chips, according to its developers. OpenAI ...

While DeepSeek R1 was reportedly trained by the company using Nvidia’s H800 GPU, it relies on Huawei’s Ascend 910C GPU for inference, reducing its dependence on American technology.

Not all of the news for Nvidia is bad. DeepSeek built its model on Nvidia H800 chips, according to multiple reports. Furthermore, Nvidia's CUDA software is still necessary for parallel computing ...