Accelerating Protein Structure Inference

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​ Available now on CoreWeave and in Google Cloud’s G4 preview, you can launch an instance and fold your first protein in under 30 seconds.
– Launch on Google Cloud G4: https://cloud.google.com/blog/products/compute/introducing-g4-vm-with-nvidia-rtx-pro-6000
– Launch on CoreWeave: https://www.coreweave.com/products/gpu-compute#additional-gpu-skus
– Test drive NVIDIA NIM for biology: https://nvda.ws/4nkSCNE

The NVIDIA RTX Pro 6000 Blackwell Server Edition sets a new benchmark for protein structure AI, optimized for ISVs in drug discovery, agtech, and beyond. OpenFold2 inference runs up to 4.8× faster than L40S, with MSA-GPU steps ~2× faster, shrinking cloud bills per structure. Its 96 GB GDDR7 and 1.6 TB/s bandwidth remove GPU-memory bottlenecks, letting you fold larger complexes, batch alignments, and densify tenants per card without sacrificing QoS. Blackwell’s hardware TEE and remote attestation satisfy pharma security reviews without custom engineering.

More information on NVIDIA RTX Pro 6000 Blackwell Server Edition: https://nvda.ws/4gpbNnl

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