NVIDIA BioNeMo Agent Toolkit on Baseten
Jun 23, 2026

Summary
This post details the integration of NVIDIA's BioNeMo Agent Toolkit with the Baseten platform. It highlights how Baseten's inference infrastructure supports BioNeMo NIM microservices and skills, enabling the creation of scientific AI agents. The post describes the architecture of BioNeMo skills, which translate HTTP endpoints into agent-executable instructions, and showcases examples of scientific workflows like protein folding and drug discovery pipelines orchestrated by agents. It emphasizes Baseten's role in providing scalable, production-ready infrastructure for these complex scientific AI workloads, abstracting away the complexities of model serving and GPU management for life science researchers.
More from the Baseten AI Model Deployment and Serving Platform trail
- LangChain trains custom models for LangSmith Engine with Baseten Loops
- DeepSeek-V4.1-Flash: more efficient prefill for coding agents
- Blaxel is joining Baseten to build the future of agentic infrastructure
- How Baseten makes pyannote’s diarization models 9.6x faster
- Optimizing delta weight syncs for managed rollouts