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Research GPUs & Servers · Next-Gen Exascale AI Supercomputing

NVIDIA Blackwell GB200 NVL72

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Next-generation AI supercomputer delivering exascale compute for generative biology

The NVIDIA GB200 NVL72 connects 72 Blackwell GPUs and 36 Grace CPUs into a single liquid-cooled rack functioning as an exascale AI supercomputer, enabling real-time biological simulations and trillions of parameter bio-models.

Second-generation Transformer Engine with FP4 precision for ultra-efficient bio-model training130 TB/s aggregate NVLink bandwidth across 72 GPUs in a single unified domainUp to 30x faster inference for trillion-token biological language datasetsLiquid-cooled rack-scale architecture engineered for modern research data centers
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Overview

The NVIDIA GB200 NVL72 connects 72 Blackwell GPUs and 36 Grace CPUs into a single liquid-cooled rack functioning as an exascale AI supercomputer, enabling real-time biological simulations and trillions of parameter bio-models.

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

Key Features

  • Second-generation Transformer Engine with FP4 precision for ultra-efficient bio-model training
  • 130 TB/s aggregate NVLink bandwidth across 72 GPUs in a single unified domain
  • Up to 30x faster inference for trillion-token biological language datasets
  • Liquid-cooled rack-scale architecture engineered for modern research data centers

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application
Whole-cell simulation, universal molecular foundation models, and billion-compound screening
Research Workflow
Training next-generation frontier bio-models and real-time molecular dynamics
Compute & Hardware
Data center facility with liquid cooling infrastructure
Licensing & Academic Use
Enterprise server agreement
Documented Evidence
View validation publication / source ↗

Cite this Tool

Use this citation format when referencing NVIDIA Blackwell GB200 NVL72 in scientific publications and benchmark papers.

@software{nvidia_blackwell_gb200_2026,
  title = {{NVIDIA Blackwell GB200 NVL72}},
  author = {{NVIDIA}},
  year = {2026},
  url = {https://www.nvidia.com/en-us/data-center/gb200-nvl72/},
  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 Blackwell GB200 NVL72.

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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
AI roleExascale Hardware Acceleration
Input dataNot recorded
Output dataNot recorded
Licence conditionsEnterprise server agreement
Commercial eligibilityCommercial enterprise system
Compute requirementsData center facility with liquid cooling infrastructure
ValidationNot recorded
TypeRack-scale exascale AI supercomputer
Intended useNot recorded
CompatibilityNot recorded
ManufacturerNVIDIA Corporation
Biological applicationWhole-cell simulation, universal molecular foundation models, and billion-compound screening
Research workflowTraining next-generation frontier bio-models and real-time molecular dynamics
Evidence levelFlagship supercomputing benchmark evaluations
Integration evidencehttps://www.nvidia.com/en-us/data-center/gb200-nvl72/
Laboratory handoffDrives enterprise R&D pipelines for biopharma consortia
AvailabilityAvailable via NVIDIA and premier system integrators
Price / accessEnterprise system — contact vendor

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 Blackwell GB200 NVL72 yet. Visit the official resource below for manufacturer imagery.

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FAQ

Where is this product available?

Available via NVIDIA and premier system integrators

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 Blackwell GB200 NVL72.

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