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NVIDIA H100

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Hopper data-center accelerator

NVIDIA H100 is a hopper data-center accelerator from NVIDIA.

Hopper data-center accelerator
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Overview

NVIDIA H100 is a hopper data-center accelerator from NVIDIA.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 11/09/2026, 05:27:52

Key Features

  • Hopper data-center accelerator

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application
Used in Recursion BioHive-2 for AI drug discovery
Research Workflow
Predict biomolecular structures
Compute & Hardware
H100 80 GB; CPU/RAM and sequence databases are also required. Larger inputs can require configuration changes.
Licensing & Academic Use
Code and model parameters have separate terms. Parameter access must be obtained from the provider; commercial eligibility is not established here.
Documented Evidence
View validation publication / source ↗

Cite this Tool

Use this citation format when referencing NVIDIA H100 in scientific publications and benchmark papers.

@software{nvidia_h100_2026,
  title = {{NVIDIA H100}},
  author = {{NVIDIA}},
  year = {2026},
  url = {https://www.nvidia.com/en-us/data-center/h100/},
  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 H100.

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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 typeHardware / instrument
Access modeSupplier quotation
AI roleCompute infrastructure
Input dataNot recorded
Output dataNot recorded
Licence conditionsCode and model parameters have separate terms. Parameter access must be obtained from the provider; commercial eligibility is not established here.
Commercial eligibilityNot independently confirmed
Compute requirementsH100 80 GB; CPU/RAM and sequence databases are also required. Larger inputs can require configuration changes.
ValidationNot recorded
TypeHopper data-center accelerator
Intended useNot recorded
CompatibilityNot recorded
ManufacturerNVIDIA
MemorySXM: 80 GB; NVL: 94 GB
Bandwidth ⓘSXM: 3.35 TB/s; NVL: 3.9 TB/s
PowerSXM: up to 700 W; NVL: 350–400 W, configurable
FormatSXM module or NVL dual-slot PCIe card
Biological applicationUsed in Recursion BioHive-2 for AI drug discovery
Research workflowPredict biomolecular structures
Evidence levelProvider-tested configuration
Integration evidencehttps://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md
Laboratory handoffEditorial next step: select an appropriate structural or functional validation assay with the research team. No direct instrument integration has been verified.
AvailabilityCurrent availability and regional access not confirmed — check provider.
Price / accessPrice not recorded — check supplier

Research fit & compatibility

Predict biomolecular structures →

Provider-tested configuration · AlphaFold 3 documentation lists a single H100 80 GB as an officially supported inference configuration. Other H100 variants are not established by this evidence.

Compute
H100 80 GB; CPU/RAM and sequence databases are also required. Larger inputs can require configuration changes.
Licence & commercial use
Code and model parameters have separate terms. Parameter access must be obtained from the provider; commercial eligibility is not established here.
Evidence limitations
Hardware support is not evidence of accuracy for a particular biological target. No local benchmark was run.
Read supporting evidence ↗

Plan compute for AI drug discovery →

Documented deployment · Recursion documents DGX H100 systems and H100 GPUs in BioHive-2 for its AI drug discovery platform. The GPU is a component of the server, not a second required purchase.

Compute
Institutional cluster planning: networking, storage, power, cooling and software operations must be sized separately.
Licence & commercial use
Hardware purchase does not provide rights to models, biological data or proprietary discovery software.
Evidence limitations
Deployment evidence demonstrates use, not a performance or cost guarantee for another research group.
Read supporting evidence ↗

Gallery & resources

No licensed product photograph recorded for NVIDIA H100 yet. Visit the official resource below for manufacturer imagery.

BEFORE YOU CHOOSE

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  • Is this a model, supporting tool, commercial platform or research prototype?
  • Verify the code, weights, data licence and independent validation before selecting a workflow.
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Alternatives

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FAQ

Where is this product available?

Current availability and regional access not confirmed — check provider.

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 H100.

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