◆ Gentoo Logic · Modeling Warehouse

Architecture comparison

EvolutionaryScale vs Isomorphic Labs

EvolutionaryScale runs closer to the foundational model (Native (own / self-hosted weights)) than Isomorphic Labs (Native (own / self-hosted weights)). Shared foundation: proprietary / self-built models (highlighted).

EvolutionaryScale

Biotech

Proximity
Native (own / self-hosted weights)
Models
proprietary / self-built models
Cloud · datastore
AWSobject storage (S3 or equivalent, inferred)domain-specific biological data stores (inferred)
Compliance
—
Architecture

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]

Isomorphic Labs

Biotech

Proximity
Native (own / self-hosted weights)
Models
proprietary / self-built models
Cloud · datastore
GCPobject storagecloud data platform (unspecified)scientific/HPC data systems (unspecified)
Compliance
—
Architecture

Public materials indicate Isomorphic Labs runs its production AI/drug-design engine on Google Cloud, using Google Cloud AI Hypercomputer with TPU/GPU fleets orchestrated by Google Kubernetes Engine for autoscaling inference workloads. The company publicly emphasizes its own drug-design engine and AlphaFold-derived models rather than exposing a foundational LLM-centric stack.

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