Hewlett Packard Enterprise (NYSE:HPE) announced today that it has shipped its first NVIDIA Blackwell family-based solution, the NVIDIA GB200 NVL72. This rack-scale system by HPE is designed to help ...
The company has attracted attention in global AI circles after writing in a paper last month that the training of DeepSeek-V3 required less than US$6 million worth of computing power from Nvidia H800 ...
The company claims to have trained its model for just $6 million using 2,000 Nvidia H800 graphics processing units ("GPUs") vs. the $80 million to $100 million cost of GPT-4 and the 16,000 H100 ...
Instead they used Nvidia H800 GPUs, which Nvidia designed to be lower performance so that they comply with US export restrictions. Working with this limitation seems to have unleashed even more ...
According to claims by DeepSeek, training its model required less than $6 million worth of Nvidia H800 chips—an amount far lower than what is typically needed by American firms. Furthermore, ...
China's DeepSeek-R1 was reportedly trained using 2,048 Nvidia H800 GPUs over a two-month period. The Nvidia H800 GPU, built on the 4nm process node, reportedly packs 80 billion transistors which ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback