TL;DR: DeepSeek, a Chinese AI lab, utilizes tens of thousands of NVIDIA H100 AI GPUs, positioning its R1 model as a top competitor against leading AI models like OpenAI's o1 and Meta's Llama.

which consists of 2,048 H100 AI GPUs. For those that don't know, NVIDIA touts Blackwell's performance as 2.5x the floating-point performance of Hopper, the previous generation of AI GPUs.

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 Corporation’s goal is to not only sell GPUs to ... versus the Hopper. Blackwell also packs 208 billion transistors to provide up to 20 petaflops of FP4, compared to the H100's 4 petaflops ...

Nvidia's GPUs were responsible for all but 30,000 GPUs shipped in 2022 and 90,000 GPUs shipped in 2023. Businesses simply can't get enough of its Hopper (H100) chip and next-generation Blackwell ...

Hyperscalers spent billions of dollars rushing to acquire Nvidia’s Hopper GPU systems ... including but not limited to A100, A800, H100, H200, H800, B100, B200, GB200, L4, L40S, and RTX 6000 ...

Nvidia's GPUs were responsible for all but 30,000 GPUs shipped in 2022 and 90,000 GPUs shipped in 2023. Businesses simply can't get enough of its Hopper (H100) chip and next-generation Blackwell ...

Developing AI models requires a substantial amount of computing power, and Nvidia's graphics ... could surpass Hopper revenue (the previous architecture which powers the H100 and H200) as soon ...