The DGX Spark is built around the new Nvidia GB10 Grace Blackwell Superchip, which combines a 20-core Arm CPU co-developed with MediaTek (featuring 10 Cortex-X295 and 10 Cortex-X725 cores) and a ...

NVIDIA DGX SuperPOD with DGX GB200 systems, with its liquid-cooled, rack-scale design and scalability for tens of thousands of GPUs, will enable DeepL to run high-performance AI models essential ...

In November 2024, DeepL announced it would be deploying a Nvidia DGX SuperPod with GB200 racks at EcoDataCenter's facility in Sweden. Rollouts of the GB200 GPUs are massively ramping up.

Using 96 Nvidia DGX-2H supercomputers, comprised of 1,536 interconnected V100 Tensor Core GPUs, the whole shebang produces 9.4 petaflops of processing power.

Nvidia’s building its own Helios Supercomputer as a means of advancing its AI research and development. It will encompass four DGX GH200 systems, all interconnected with Nvidia’s Quantum-2 ...

NVIDIA compares the power of these chips to 250 CPU-based servers. But while those servers need to be networked together, with all the cables and racks that go with them, the DGX-1 comes in a ...

Nvidia calls the DGX Station A100 an "AI appliance you can place anywhere." The box, measuring 25 inches high, 10 inches across, and 20 inches deep, comes with four GPUs, either existing 40 ...

Nvidia isn’t just supplying other companies with equipment though – it’s also announced plans to build its own DGX GH200-based supercomputer named Helios.

The DGX Cloud platform is paired with Nvidia’s AI Enterprise software, which gives customers access to more than 100 AI frameworks and pre-trained models, so they can build, refine and operate ...