# BioNeMo

Published articles for BioNeMo.

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## High-Throughput Structure Prediction with BioNeMo Inference Runtime

DevFeed: [High-Throughput Structure Prediction with BioNeMo Inference Runtime](<https://devfeed.tech/articles/high-throughput-structure-prediction-with-bionemo-inference-runtime-6836.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/high-throughput-structure-prediction-with-bionemo-inference-runtime/>)

Author: Elizabeth Goodman

Published: 2026-09-10T15:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>)

Tags: [bionemo](<https://devfeed.tech/tags/bionemo.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [cuda-graphs](<https://devfeed.tech/tags/cuda-graphs.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [drug-discovery](<https://devfeed.tech/tags/drug-discovery.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [healthcare-life-sciences](<https://devfeed.tech/tags/healthcare-life-sciences.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [hpc-scientific-computing](<https://devfeed.tech/tags/hpc-scientific-computing.md>), [inference](<https://devfeed.tech/tags/inference.md>), [integration](<https://devfeed.tech/tags/integration.md>), [kernels](<https://devfeed.tech/tags/kernels.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [node](<https://devfeed.tech/tags/node.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [resource](<https://devfeed.tech/tags/resource.md>), [scale](<https://devfeed.tech/tags/scale.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [tokenization](<https://devfeed.tech/tags/tokenization.md>), [torch](<https://devfeed.tech/tags/torch.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

A tutorial on using NVIDIA BioNeMo Inference Runtime to accelerate biomolecular structure-prediction models on GPUs. It covers the end-to-end Boltz2 workflow, PyTorch integration, input requirements, and Ray-based single-node throughput scaling.

### Source excerpt

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA...

## Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science

DevFeed: [Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science](<https://devfeed.tech/articles/run-nvidia-bionemo-nim-microservices-for-protein-structure-prediction-in-claude-science-6934.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/run-nvidia-bionemo-nim-microservices-for-protein-structure-prediction-in-claude-science/>)

Author: Michelle Horton

Published: 2026-08-31T16:30:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI research agents](<https://devfeed.tech/topics/ai-research-agents.md>), [OpenSSH](<https://devfeed.tech/topics/openssh.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [bionemo](<https://devfeed.tech/tags/bionemo.md>), [claude](<https://devfeed.tech/tags/claude.md>), [code](<https://devfeed.tech/tags/code.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [drug-discovery](<https://devfeed.tech/tags/drug-discovery.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [nim](<https://devfeed.tech/tags/nim.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [science](<https://devfeed.tech/tags/science.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

A tutorial for running NVIDIA BioNeMo NIM microservices with Claude Science to perform protein-structure prediction using multiple-sequence alignment and multiple folding models.

### Source excerpt

Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize next....

## Accelerating End-to-End Co-Folding Performance with NVIDIA BioNeMo Agent Toolkit

DevFeed: [Accelerating End-to-End Co-Folding Performance with NVIDIA BioNeMo Agent Toolkit](<https://devfeed.tech/articles/accelerating-end-to-end-co-folding-performance-with-nvidia-bionemo-agent-toolkit-6757.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/accelerating-end-to-end-co-folding-performance-with-nvidia-bionemo-agent-toolkit/>)

Author: Elizabeth Goodman

Published: 2026-07-10T13:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [cpu](<https://devfeed.tech/topics/cpu.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [bionemo](<https://devfeed.tech/tags/bionemo.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [drug-discovery](<https://devfeed.tech/tags/drug-discovery.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [healthcare-life-sciences](<https://devfeed.tech/tags/healthcare-life-sciences.md>), [hpc-scientific-computing](<https://devfeed.tech/tags/hpc-scientific-computing.md>), [inference](<https://devfeed.tech/tags/inference.md>), [multi-gpu](<https://devfeed.tech/tags/multi-gpu.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

The article describes NVIDIA BioNeMo Agent Toolkit accelerations for biomolecular co-folding workflows, focusing on faster MSA generation, inference, serving, and multi-GPU scaling for drug-discovery workloads.

### Source excerpt

Biomolecular structure prediction and co-folding with models like OpenFold3 are now mainstream, large-scale workloads powering drug discovery and protein...