Last year, xAI built a massive data center in Memphis, but the company has also been quietly setting up another facility in Georgia.

NVIDIA’s official discontinuation of the A100 series and labelling them as EOL means that these GPUs will no longer receive ...

Amidst Washington’s escalating tech sanctions, Chinese researchers find a new way to enhance GPU efficiency from the software end.

NVIDIA is the market leader in AI-focused GPUs, with the Tesla (now A100 and H100) and RTX series optimised for machine ...

Elon Musk is Tesla's largest individual shareholder, holding about 13% of its stock. Vanguard and BlackRock are major institutional investors, owning 7.5% and 6.1% of Tesla shares, respectively.

To reach 100 exaflops, and assuming that one D1 can achieve 362 teraflops, Tesla would need more than 276,000 D1s, or around 320,500 Nvidia A100 GPUs.) Tesla also pledged in January 2024 to spend ...

For years, Elon Musk has talked about Dojo — the AI supercomputer that will be the cornerstone of Tesla’s AI ambitions. It’s important enough to Musk that in July 2024, he said the company ...

Latch is partnering with multi-omics providers like AtlasXomics to re-rewrite their NGS pipelines with GPUs, achieving to up to 70% faster runtimes than existing methods. This is leading to ...

If we assume that the market price of each H800 is around $35,000 in China and Nvidia's A100 GPU costs around $12,800, we come to the conclusion that the DeepSeek R1 model was trained on a ...

The company claims it used a little more than 2,000 GPUs to train its model and that it had access to 10,000 older Nvidia A100 GPUs. Some experts do not believe it. Alexandr Wang, CEO of Scale AI ...