# HPC / Scientific Computing

Published articles for HPC / Scientific Computing.

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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...

## NVIDIA Ising Decoding Cuts Color Code Logical Error Rates by Over 300x

DevFeed: [NVIDIA Ising Decoding Cuts Color Code Logical Error Rates by Over 300x](<https://devfeed.tech/articles/nvidia-ising-decoding-cuts-color-code-logical-error-rates-by-over-300x-6893.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-ising-decoding-cuts-color-code-logical-error-rates-by-over-300x/>)

Author: Elizabeth Goodman

Published: 2026-07-13T19:00:00Z

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: [Ising](<https://devfeed.tech/topics/ising.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Math and Logic](<https://devfeed.tech/topics/math-and-logic.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-foundation-models](<https://devfeed.tech/tags/ai-foundation-models.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [featured](<https://devfeed.tech/tags/featured.md>), [hpc-scientific-computing](<https://devfeed.tech/tags/hpc-scientific-computing.md>), [ising](<https://devfeed.tech/tags/ising.md>), [latency](<https://devfeed.tech/tags/latency.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scale](<https://devfeed.tech/tags/scale.md>), [train](<https://devfeed.tech/tags/train.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

NVIDIA's Ising Decoder ColorCode 1 Fast is presented as a decoder for triangular color codes that improves logical error rates by more than 347.7x and runtime by 7.3x compared with Chromobius at d=31 and a 0.3% physical error rate. The article also describes an Ising decoding training pipeline for small 3D CNN-based pre-decoders supporting real-time quantum error correction operations.

### Source excerpt

Useful quantum computers will require fault tolerant logical operations. Researchers are actively exploring many different quantum error correction (QEC) codes...

## 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...