NVIDIA H200 Tensor Core GPU (NVL/SXM)
NVIDIA H200 Tensor Core GPU (NVL/SXM)
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£26,500.00 GBP
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NVIDIA H200 Tensor Core GPU (NVL/SXM)
Higher Performance With Larger, Faster Memory
The NVIDIA H200 Tensor Core GPU supercharges generative AI and high-
performance computing (HPC) workloads with game-changing performance
and memory capabilities. Based on the NVIDIA Hopper™ architecture, the NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s)— that’s nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and large language models, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.
The NVIDIA H200 Tensor Core GPU supercharges generative AI and high-
performance computing (HPC) workloads with game-changing performance
and memory capabilities. Based on the NVIDIA Hopper™ architecture, the NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s)— that’s nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and large language models, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.
Unlock Insights With High-Performance LLM Inference
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. The H200 doubles inference performance compared to H100 GPUs when handling large language models such as Llama2 70B
Supercharge High-Performance Computing
Memory bandwidth is crucial for HPC applications, as it enables faster data
transfer and reduces complex processing bottlenecks. For memory-intensive
HPC applications like simulations, scientific research, and artificial intelligence,
the H200’s higher memory bandwidth ensures that data can be accessed and
manipulated efficiently, leading to 110X faster time to results.
Memory bandwidth is crucial for HPC applications, as it enables faster data
transfer and reduces complex processing bottlenecks. For memory-intensive
HPC applications like simulations, scientific research, and artificial intelligence,
the H200’s higher memory bandwidth ensures that data can be accessed and
manipulated efficiently, leading to 110X faster time to results.
Reduce Energy and TCO
With the introduction of H200, energy efficiency and TCO reach new levels. This
cutting-edge technology offers unparalleled performance, all within the same power profile as the H100 Tensor Core GPU. AI factories and supercomputing systems that are not only faster but also more eco-friendly deliver an economic edge that propels the AI and scientific communities forward. Preliminary specifications. May be subject to change. Llama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32
With the introduction of H200, energy efficiency and TCO reach new levels. This
cutting-edge technology offers unparalleled performance, all within the same power profile as the H100 Tensor Core GPU. AI factories and supercomputing systems that are not only faster but also more eco-friendly deliver an economic edge that propels the AI and scientific communities forward. Preliminary specifications. May be subject to change. Llama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32
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