NVIDIA released BioNeMo Inference Runtime, an inference framework that keeps the familiar PyTorch workflow while using optimized kernels and CUDA Graphs to accelerate biomolecular structure prediction at full proteome scale.

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NVIDIA Launches BioNeMo Inference Runtime for Proteome-Scale Protein Structure Prediction

What NVIDIA announced

FAQ

What is BioNeMo Inference Runtime?

It is an NVIDIA inference framework that accelerates supported biomolecular structure-prediction models on GPUs while keeping the familiar PyTorch interface, using optimized kernels and CUDA Graphs.

How does it differ from running models directly in PyTorch?

It keeps the same workflow but swaps in optimized execution paths and uses CUDA Graphs where applicable, boosting throughput when processing large worklists rather than a single model run.

Does it benefit MENA research centers?

Yes, especially pharma and university centers processing full proteomes, since it cuts processing time per potential drug target and speeds up research pipelines.

Is it a new protein structure prediction model?

No. It is an inference acceleration layer supporting existing models such as AlphaFold and ESMFold, not a replacement model.

Source: NVIDIA Developer (AI)

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