The NVIDIA H200 Tensor Core GPU supercharges generative AI and HPC with game-changing performance and memory capabilities. As the first GPU with HBM3e, H200’s faster, larger memory fuels the acceleration of generative AI and LLMs while advancing scientific computing for HPC workloads.
The NVIDIA HGX H200 is now available in the Cirrascale AI Innovation Cloud. Experience the highest performance in generative AI and HPC applications.
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Cirrascale offers the HGX H200 in its AI Innovation Cloud as an 8-GPU configuration giving you full GPU-to-GPU bandwidth through NVIDIA NVSwitch. Leveraging the power of H200 multi-precision TensorCores, an eight-way HGX H200 provides over 32 petaFLOPS of FP8 deep learning compute and over 1.1TB of aggregate HBM memory for the highest performance in generative AI and HPC applications.
The NVIDIA H200 is the world’s first GPU with HBM3e memory with 4.8TB/s of memory bandwidth, a 1.4X increase over H100. H200 also expands GPU memory capacity nearly 2X to 141 gigabytes (GB). The combination of faster and larger HBM memory accelerates performance of computationally intensive generative AI and HPC applications, while meeting the evolving demands of growing model sizes.
The era of generative AI has arrived, and it requires billion-parameter models to take on the paradigm shift in business operations and customer experiences.
NVIDIA H200 GPUs feature the Transformer Engine with FP8 precision, which provides up to 5X faster training over A100 GPUs for large language models such as GPT-3 175B. The combination of fourth-generation NVlink, which offers 900GB/s of GPU-to-GPU interconnect, PCIe Gen5, and NVIDIA Magnum IO™ software, delivers efficient scalability from small enterprise to massive unified computing clusters of GPUs. These infrastructure advances, working in tandem with the NVIDIA AI Enterprise software suite, make the NVIDIA H200 the most powerful end-to-end generative AI and HPC data center platform.
In the ever-evolving landscape of AI, businesses rely on large language models to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.
H200 doubles inference performance compared to H100 when handling LLMs such as Llama2 70B.
We're proud of the fact that we have worked with cloud pioneers from the very start. We were the trusted cloud backbone that helped OpenAI meet their cloud compute needs early on, and we continue to engage with today's bleeding edge AI companies, like yours.
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