Google Cloud outlines three-layer agent architecture for biotech drug discovery
Overview
Google Cloud describes a three-layer design for biotech AI agents that separates a Gemini-based orchestrator, a GPU execution layer, and a governance layer.
According to the company, the execution layer runs ESMFold for protein folding and GenMol for generative molecular design as NVIDIA NIMs on G4 VMs with RTX PRO 6000 Blackwell GPUs, on Google Kubernetes Engine.
Google Cloud says proprietary structural data stays inside a private VPC, and agents pass object URIs between steps rather than raw coordinates.
Written by AI from the articles below · updated Oct 16, 12:28 PM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
- Google Cloud · AI & Machine LearningOfficialGoogle Cloud outlines a three-layer agent architecture for biotech drug discovery
AIGoogle Cloud describes a three-layer design for biotech AI agents that separates a Gemini-based orchestrator from GPU execution on GKE and a governance layer. The execution layer runs ESMFold for protein folding and GenMol for generative design as NVIDIA NIMs on G4 VMs with RTX PRO 6000 Blackwell GPUs. Proprietary structural data stays inside a private VPC, with agents passing object URIs rather than raw coordinates.
Heat trend
- Current comparable heat
- 9
- Peak comparable heat
- 10Oct 16, 1:00 PM ET
- Change in past 24 hours
- –
The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.