Check out these pics of Tesla’s Cortex supercomputer — about 50,000 Nvidia H100 GPUs put together in a cluster at Giga Texas.

So, let's consider a few facts for a moment. Reuters reports that DeepSeek's development entailed 2,000 of Nvidia's H800 GPUs ...

DeepSeek stunned the tech world with the release of its R1 "reasoning" model, matching or exceeding OpenAI's reasoning 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 ...

Chinese AI company DeepSeek says its DeepSeek R1 model is as good, or better than OpenAI's new o1 says CEO: powered by 50,000 ...

Nvidia’s bleeding continued in midday ... took Meta’s Lllama 3.1 the equivalent of 30.8 million GPU hours using 16,384 full-powered H100 GPUs. DeepSeek took the equivalent of about 2.8 million ...

The team at xAI, partnering with Supermicro and NVIDIA, is building the largest liquid-cooled GPU cluster deployment in the world. It’s a massive AI supercomputer that encompasses over 100,000 ...

Nvidia's flagship H100 GPU was built on its Hopper architecture, and it helped the company win 98% of the entire market for AI data center chips in 2023. It was superseded by the H200 GPU ...

Comparatively, OpenAI spent more than $100 million training its GPT-4 model and used the more powerful Nvidia H100 GPUs. The company hasn't disclosed the precise number, but analysts estimate ...