NVIDIA Accelerates Structure Prediction and Multi-GPU Folding
AllThingsApx · x · 2026-07-11
NVIDIA Health emphasizes that biomolecular structure prediction is not a single-model benchmark, but rather a full-stack problem.
Acceleration results detailed in the blog include:
- GPU MSA search up to 177× faster
- OpenFold3 inference up to 4× faster on Blackwell GPUs
- Fold-CP can scale structural complexes to 32,000 tokens across 64 NVIDIA B300 GPUs
The article also notes that these capabilities are integrated into agentic workflows supported by the BioNeMo Agent Toolkit, stringing together sequence search, structure folding, and multi-GPU scaling.
More from Infra
- Tabul AI launches Metal TreeSHAP to speed up Shapley values on Apple silicon — Scobleizer · 2026-07-22
- DeepSeek-V4-Flash tops out at 770 tok/s on one B300 in a vLLM batch test — Moreh · 2026-07-22
- NVIDIA starts shipping 102.4 Tbps Spectrum-6 switches for Vera Rubin AI factories — nvidia · 2026-07-22
- Apple publishes SOC 3 audit reports for Private Cloud Compute — throwfaraway4 · 2026-07-22
- Reddit GPU renters say existing platforms only give you two of three: code, recovery, fair billing — legendpizzasenpai · 2026-07-22
- The Sandboxing Manifesto: Secure Execution Environments for Agents — spirosoik · 2026-07-22