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Attribute
Bio-AI Compute & Hardware Accelerators

NVIDIA Grace Hopper Superchip (GH200)

NVIDIA
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CategoryBio-AI Compute & Hardware Accelerators
CompanyNVIDIA
PriceEnterprise hardware — contact suppliers
StatusStatus not confirmed
AvailabilityAvailable through OEM server partners and cloud providers (AWS, Azure, OCI)
Last checked20/09/2026
FeaturesUnified CPU and GPU memory space up to 576 GB per superchip, 7x faster CPU-to-GPU bandwidth compared to traditional PCIe Gen5 systems, Ideal for running massive models (ESM-3 98B, AlphaFold 3, whole-genome transformers) without distributed tensor slicing, Exceptional energy efficiency for life sciences data centers
Entry typeComputing Hardware
Access modeEnterprise Purchase & Cloud Instances
AI roleSupercomputing Hardware Acceleration
Input dataNot recorded
Output dataNot recorded
Licence conditionsEnterprise hardware purchase and CUDA software agreements
Commercial eligibilityCommercial enterprise hardware
Compute requirementsServer rack deployment with liquid or high-capacity air cooling
ValidationNot recorded
TypeAccelerated CPU-GPU Superchip
Intended useNot recorded
CompatibilityNot recorded
ManufacturerNVIDIA Corporation
Biological applicationFrontier protein language models, molecular dynamics simulations, and pangenomics
Research workflowAccelerating large-model training and high-throughput virtual screening pipelines
Evidence levelDemonstrated in flagship bio-AI research institutes worldwide
Integration evidencehttps://www.nvidia.com/en-us/data-center/grace-hopper-superchip/
Laboratory handoffProvides computing power for in silico discovery engines