Protein Folding Pushes Past One GPU

NVIDIA's July 10 technical release targets the full biomolecular structure-prediction pipeline rather than a single kernel. The company reports GPU-accelerated sequence search, lower OpenFold3 inference latency through cuEquivariance, and Fold-CP context parallelism that reduces per-GPU memory as a molecular assembly is divided across processors. NVIDIA says the latter reached 32,000-token complexes on 64 B300 GPUs. Those performance figures come from NVIDIA's hardware and software tests. The consequential change is composability: the BioNeMo Agent Toolkit exposes the stages as tools an automated research workflow can call.