NVIDIA GB200 GPU Nodes for AI, ML and HPC

GPU NODES

NVIDIA GB200 NVL72

The GB200 Grace Blackwell Superchip™ is designed for a new type of data center—one that processes mountains of data to produce intelligence with maximum energy efficiency. These data centers run diverse workloads like AI, data analytics, hyperscale cloud applications, and high-performance computing (HPC).

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Key Facts

30X FASTER

Llama 3.0 Inference

GB200 NVL72 is 30X faster for Inference  vs. NVIDIA H100 Tensor Core GPU.

4X FASTER

Massive-Scale Training

GB200 NVL72 is 4X faster training for LLMs at scale than the H100

18X FASTER

Data Processing

GB200 NVL72 is 18X faster at processing data than Intel Xeon 8480+.

25X EFFICIENCY

Energy Efficiency

GB200 NVL2 is 25X more energy efficient than the H100.

Our Nodes

Take advantage of NVIDIA GB200 NVL72 GPU, connecting 36 Grace CPUs and 72 Blackwell GPUs in a rack-scale design. The GB200 NVL72 is a rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU and delivers 30X faster real-time trillion-parameter LLM inference.

Nscale AI Cloud Stack

A render of Nscale's nvidia gb200 NVL72 liquid-cooled solution

An NVIDIA Grace GB200 data center configuration provided by Nscale, showcasing interconnected server racks with visible cabling and pipelines. The setup features NVIDIA Blackwell Tensor Core GPUs and Grace CPUs, offering high-performance computation for AI factories with cloud access powered by Nscale.

Use Cases

Telcos can leverage AI solutions accelerated by NVIDIA GPUs, leading to reduced customer wait times, optimised network performance, and boosting overall operational efficiency.

Financial services institutions can use NVIDIA accelerated data science to improve banking services, support customer service agents, and keep accounts and transactions secure.

Healthcare specialists can use GPU-powered AI solutions accelerated by NVIDIA to speed up medical image analysis, uncover patient risk factors, and expedite drug discovery.

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