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NVIDIA BioNeMo Inference Runtime accelerates protein structure prediction

NVIDIA has introduced the BioNeMo Inference Runtime (BioIR), a Python library designed to accelerate biomolecular structure prediction models on NVIDIA GPUs. BioIR optimizes specific operations within models like Pairformer and Evoformer, and utilizes CUDA Graph capture for module optimization and Ray for pipeline scaling. This runtime has already been used to expand the AlphaFold Database, contributing to the release of millions of high-confidence protein structure predictions. Benchmarks show significant speedups compared to standard PyTorch workflows, with BioIR-accelerated Boltz-2 achieving 2.90x higher throughput on NVIDIA H100 GPUs. AI

IMPACT Accelerates biomolecular structure prediction, potentially speeding up drug discovery and biological research.

RANK_REASON This is a technical deep dive and library release from a hardware vendor, not a core AI model release or research paper.

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NVIDIA BioNeMo Inference Runtime accelerates protein structure prediction

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This is a technical deep dive and library release from a hardware vendor, not a core AI model release or research paper.
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    NVIDIA Details BioNeMo Inference Runtime (BioIR): 2.90x Higher Boltz-2 Folding Throughput and 58.5K Residues per GPU-Hour on 8xH100

    <p>NVIDIA has detailed BioNeMo Inference Runtime (BioIR), a Python library that accelerates biomolecular structure-prediction models on NVIDIA GPUs while staying in plain PyTorch. In a matched benchmark on 1,000 human dimer targets across 8xH100 GPUs, BioIR-accelerated Boltz-2 de…