NVIDIA's BioNeMo Inference Runtime Speeds Up Structure Prediction By Over 2.9x
In brief
- NVIDIA has unveiled its new BioNeMo Inference Runtime (BioIR), a tool that significantly speeds up the process of predicting biomolecular structures, like proteins and DNA, using AI.
- This breakthrough allows researchers to handle massive datasets more efficiently, with one million targets requiring just 11 megawatt-hours of energy-less than a third of what was previously needed.
- In testing, BioIR outperformed existing methods by nearly three times when predicting the structures of human dimers.
- It achieves this by optimizing how AI models run on NVIDIA GPUs and using advanced techniques to overlap CPU tasks with GPU processing.
- This not only saves time but also reduces energy consumption, making large-scale projects like the AlphaFold Database expansion more feasible.
- For developers and researchers, BioIR offers a familiar PyTorch interface while providing faster performance.
- It supports both ready-to-use models and custom code integration.
- Users can expect even greater advancements as NVIDIA continues to refine this technology for drug discovery and other applications.
Terms in this brief
- BioNeMo Inference Runtime
- A tool developed by NVIDIA to speed up AI predictions of biomolecular structures like proteins and DNA. It optimizes how AI models run on GPUs and overlaps CPU tasks with GPU processing, making large-scale projects more feasible and reducing energy consumption.
Read full story at NVIDIA Dev Blog →
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