High-Throughput Structure Prediction with BioNeMo Inference Runtime | NVIDIA Technical Blog
Sep 10, 2026Elizabeth Goodman

Summary
This post introduces the NVIDIA BioNeMo Inference Runtime (BioIR) for accelerating biomolecular structure-prediction models on NVIDIA GPUs, preserving PyTorch workflows. It details BioIR's end-to-end processor and direct PyTorch module integration, highlighting optimizations at the kernel, CUDA Graph, and Ray pipeline scaling levels. Benchmarks demonstrate significant throughput and energy efficiency gains for structure prediction tasks.
More from the Model Quantization for Inference Optimization trail
- How to Size GPUs for AI Inference and TCO Without Overspending | NVIDIA Technical Blog
- Deploy an Open Model from Checkpoint to Inference in Two Commands with NVIDIA TensorRT Model Connect | NVIDIA Technical Blog
- Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer | NVIDIA Technical Blog
- Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer | NVIDIA Technical Blog
- Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding | NVIDIA Technical Blog