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NVIDIA Grace Blackwell GB200 Overview
The NVIDIA Grace Blackwell GB200 is a revolutionary tool that powers the new era of computing. It is a rack-scale solution that connects 36 Grace CPUs and 72 Blackwell GPUs, acting as a single massive GPU. The GB200 NVL72 is designed to unlock real-time trillion-parameter models, offering 30X faster real-time for trillion-parameter LLM inference. It is a key component of the NVIDIA GB200 NVL72, connecting two high-performance NVIDIA Blackwell Tensor Core GPUs and an NVIDIA Grace CPU. The GB200 NVL72 is an exascale computer in a single rack, providing 130 terabytes per second of low-latency GPU communications for AI and high-performance computing workloads.
NVIDIA Grace Blackwell GB200 Highlights
- The GB200 NVL72 introduces cutting-edge capabilities and a second-generation Transformer Engine which enables FP4 AI and delivers 30X faster real-time LLM inference performance for trillion-parameter language models.
- GB200 NVL72 includes a faster second-generation Transformer Engine featuring FP8 precision, enabling a remarkable 4X faster training for large language models at scale.
- Liquid-cooled GB200 NVL72 racks reduce a data center’s carbon footprint and energy consumption, delivering 25X more performance at the same power while reducing water consumption.
Use Cases
A multinational technology company is developing a new AI-powered language translation service. They need a solution that can handle the massive computational requirements of their trillion-parameter language models. They use the NVIDIA Grace Blackwell GB200 for its second-generation Transformer Engine and its ability to deliver 30X faster real-time LLM inference performance.
The company is able to develop and deploy their AI-powered language translation service more quickly and efficiently. The service is able to provide real-time translations with high accuracy, improving the user experience and increasing customer satisfaction.
A climate research institute is conducting complex simulations to model the effects of climate change. These simulations require high-performance computing capabilities to process large amounts of data and perform complex calculations. The institute uses the NVIDIA Grace Blackwell GB200 for its exascale computing capabilities and its low-latency GPU communications.
The institute is able to conduct their climate simulations more quickly and accurately. This leads to more accurate predictions of the effects of climate change, enabling policymakers to make more informed decisions.
A data center operator is looking to reduce their energy consumption and carbon footprint. They need a solution that can deliver high performance while also being energy efficient. They use the NVIDIA Grace Blackwell GB200 for its liquid-cooled racks, which deliver 25X more performance at the same power while reducing water consumption.
The data center operator is able to significantly reduce their energy consumption and carbon footprint. This leads to cost savings and helps the operator meet their sustainability goals.