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Bio-AI Compute & Hardware Accelerators

Google Cloud TPU v5p

Google Cloud
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CategoryBio-AI Compute & Hardware Accelerators
CompanyGoogle Cloud
PriceCloud compute — pay per chip-hour
StatusStatus not confirmed
AvailabilityAvailable via Google Cloud Platform
Last checked20/09/2026
Features4x larger scalability compared to TPU v4, reaching up to 8,960 chips per pod, 95 GB of high-bandwidth memory enabling massive batch sizes for protein transformers, 4,800 Gbps inter-chip interconnect per pod for ultra-fast all-reduce communication, Supported natively by JAX, TensorFlow, and PyTorch (via PyTorch/XLA)
Entry typeCloud Hardware Accelerator
Access modeCloud On-Demand & Spot Pricing
AI roleDeep Learning Supercomputing
Input dataNot recorded
Output dataNot recorded
Licence conditionsGoogle Cloud Platform service terms
Commercial eligibilityCommercial cloud access
Compute requirementsGoogle Cloud Platform (GCP) project with TPU quota
ValidationNot recorded
TypeApplication-Specific Integrated Circuit (ASIC)
Intended useNot recorded
CompatibilityNot recorded
ManufacturerGoogle LLC
Biological applicationTraining AlphaFold models, genomic transformers (Enformer, Borzoi), and multi-modal bio-models
Research workflowDistributed model training across TPU pods in Google Cloud Platform
Evidence levelHardware foundation for Google DeepMind AlphaFold and AlphaMissense research
Integration evidencehttps://cloud.google.com/tpu/docs/v5p
Laboratory handoffProvides scalable training compute for computational biology teams