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NVIDIA Grace Hopper Superchip (GH200)

By NVIDIA →

Breakthrough processor designed for giant-scale bio-foundation models and terabyte-scale genomics

The NVIDIA GH200 Grace Hopper Superchip integrates an ARM CPU and Hopper GPU with 900 GB/s NVLink-C2C interconnect and up to 576 GB of unified memory, eliminating memory bottlenecks in multi-billion parameter biology models.

Unified CPU and GPU memory space up to 576 GB per superchip7x faster CPU-to-GPU bandwidth compared to traditional PCIe Gen5 systemsIdeal for running massive models (ESM-3 98B, AlphaFold 3, whole-genome transformers) without distributed tensor slicingExceptional energy efficiency for life sciences data centers
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Overview

The NVIDIA GH200 Grace Hopper Superchip integrates an ARM CPU and Hopper GPU with 900 GB/s NVLink-C2C interconnect and up to 576 GB of unified memory, eliminating memory bottlenecks in multi-billion parameter biology models.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 20/09/2026, 11:09:40

Key Features

  • Unified CPU and GPU memory space up to 576 GB per superchip
  • 7x faster CPU-to-GPU bandwidth compared to traditional PCIe Gen5 systems
  • Ideal for running massive models (ESM-3 98B, AlphaFold 3, whole-genome transformers) without distributed tensor slicing
  • Exceptional energy efficiency for life sciences data centers

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application
Frontier protein language models, molecular dynamics simulations, and pangenomics
Research Workflow
Accelerating large-model training and high-throughput virtual screening pipelines
Compute & Hardware
Server rack deployment with liquid or high-capacity air cooling
Licensing & Academic Use
Enterprise hardware purchase and CUDA software agreements
Documented Evidence
View validation publication / source ↗

Cite this Tool

Use this citation format when referencing NVIDIA Grace Hopper Superchip (GH200) in scientific publications and benchmark papers.

@software{nvidia_grace_hopper_gh200_2026,
  title = {{NVIDIA Grace Hopper Superchip (GH200)}},
  author = {{NVIDIA}},
  year = {2026},
  url = {https://www.nvidia.com/en-us/data-center/grace-hopper-superchip/},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations streamed from Europe PMC and PubMed for NVIDIA Grace Hopper Superchip (GH200).

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Technical / Product Information

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typeComputing Hardware
Access modeEnterprise Purchase & Cloud Instances
AI roleSupercomputing Hardware Acceleration
Input dataNot recorded
Output dataNot recorded
Licence conditionsEnterprise hardware purchase and CUDA software agreements
Commercial eligibilityCommercial enterprise hardware
Compute requirementsServer rack deployment with liquid or high-capacity air cooling
ValidationNot recorded
TypeAccelerated CPU-GPU Superchip
Intended useNot recorded
CompatibilityNot recorded
ManufacturerNVIDIA Corporation
Biological applicationFrontier protein language models, molecular dynamics simulations, and pangenomics
Research workflowAccelerating large-model training and high-throughput virtual screening pipelines
Evidence levelDemonstrated in flagship bio-AI research institutes worldwide
Integration evidencehttps://www.nvidia.com/en-us/data-center/grace-hopper-superchip/
Laboratory handoffProvides computing power for in silico discovery engines
AvailabilityAvailable through OEM server partners and cloud providers (AWS, Azure, OCI)
Price / accessEnterprise hardware — contact suppliers

Research fit & compatibility

No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

Gallery & resources

No licensed product photograph recorded for NVIDIA Grace Hopper Superchip (GH200) yet. Visit the official resource below for manufacturer imagery.

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FAQ

Where is this product available?

Available through OEM server partners and cloud providers (AWS, Azure, OCI)

How is pricing handled?

Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.

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Peer Reviews & Community Ratings

Feedback from researchers and computational biologists evaluating NVIDIA Grace Hopper Superchip (GH200).

5.0
★★★★★Based on 0 researcher evaluations
Biological Accuracy
4.8/5
Ease of Installation
4.3/5
Documentation & Code
4.6/5