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ProteinMPNN-NIM

NVIDIA · Intelligence & Research

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownML model
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

This network leverages evolutionary, functional, and structural information to generate sequences that are likely to fold into the desired 3D structures.

The input to the neural network is a 3D structure of a protein in PDB format, and the output is the amino-acid sequence in Multi-FASTA format.

Show the rest of the publisher’s description (2 more lines)

ProteinMPNN is one of many NIMs that you can apply to tasks in biosciences and drug discovery. NIMs make it easy to chain models together to develop a complete in silico drug discovery pipeline.

For example, you can use a ProteinMPNN NIM as a subsequent step after RFdiffusion generative model NIM in order to determine possible amino acid sequence.

Highlights

Highlighted by the publisher on AWS Marketplace.

Increased productivity: NIMs enable developers to build generative AI applications quickly, in minutes rather than weeks, by providing a standardized way to add AI capabilities to their applications. Simplified deployment: NIMs provide containers that can be easily deployed on various platforms, including clouds, data centers, or workstations, making it convenient for developers to test and deploy their applications.

ProteinMPNN potential applications spans from accelerating drug discovery to advancing synthetic biology.

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-10

CompanyNVIDIA CorporationAutomated
HQUnited States of AmericaAutomated
IndustryTechnologyAutomated
Websitehttps://www.nvidia.com/en-us/

Plans and pricing as listed

9 listed
ml.g5.12xlarge Inference (Batch)
  • HostHrs
$1.00
ml.g6e.12xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.g6e.24xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.g6e.48xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.p4d.24xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.p4de.24xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.p5.48xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.p5e.48xlarge Inference (Real-Time)
  • HostHrs
$1.00
ml.p5en.48xlarge Inference (Real-Time)
  • HostHrs
$1.00

Sources

Marketplace listingaws.amazon.com ↗Source
App certificationaws.amazon.com ↗Source
StandardEulaStandardEula ↗Source

Publisher resources

3 links
NVIDIA NIM Pagebuild.nvidia.com ↗Source
NVIDIA NIM documentation pagedocs.nvidia.com ↗Source
Deploy generative AI faster with NVIDIA NIM on AWSaws.amazon.com ↗Source

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
9 plans listed
Delivery
ML model
Free support via NVIDIA NIM Developer Forum: https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.