EvolutionaryScale

EvolutionaryScale operates ESM3 as a proprietary, GPU-accelerated protein LLM stack on AWS, exposing commercial access primarily via AWS SageMaker, AWS HealthOmics, and soon Amazon Bedrock, while distributing a smaller open version of ESM3 and earlier ESM models with code and some weights on GitHub and Hugging Face for non-commercial and open use.[3][5][7][11] Internal architecture details beyond this cloud/HPC and PyTorch-centric GPU cluster setup are not publicly documented.[3][10][12]

Foundation proximity: Native (own / self-hosted weights)

Foundational models & how they consume them

PrimaryESM3-large (98B frontier protein LLM family)· Self-hosted on AWS GPU clusters (via SageMaker/HealthOmics, AWS collaboration) · Native (own / self-hosted weights)

SecondaryESM3-medium (7B)· Self-hosted on AWS GPU clusters (via SageMaker/HealthOmics, AWS collaboration) · Native (own / self-hosted weights)

TertiaryESM3-small-open (1.4B open version)· Self-hosted / distributed via GitHub + Hugging Face; also AWS SageMaker/HealthOmics, NVIDIA BioNeMo/NIM · Native (own / self-hosted weights)

TertiaryESM C 600M / 300M protein models· Self-hosted / distributed via GitHub + Hugging Face; commercial inference via SageMaker · Native (own / self-hosted weights)

Cloud & datastore

AWSobject storage (S3 or equivalent, inferred)domain-specific biological data stores (inferred)

Compliance

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Similar companies

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FAQ

Does EvolutionaryScale use a foundational AI model?

EvolutionaryScale uses ESM3-large (98B frontier protein LLM family), ESM3-medium (7B), ESM3-small-open (1.4B open version), ESM C 600M / 300M protein models (Native (own / self-hosted weights)).

What cloud does EvolutionaryScale run on?

EvolutionaryScale runs on AWS.

What database does EvolutionaryScale use?

EvolutionaryScale uses object storage (S3 or equivalent, inferred), domain-specific biological data stores (inferred).

How close does EvolutionaryScale run to the foundational model?

EvolutionaryScale is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

evolutionaryscale.ai ↗

Also on the map

proprietary / self-built models

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Architecture inferred from public sources · confidence low · verify before betting on a detail.