Google Cloud → AWS and Azure
AWS and Azure equivalents of Cloud TPU
The closest AWS equivalents of Google Cloud Cloud TPU are AWS Trainium (Trn1, Trn2, Trn3) and AWS Inferentia (Inf2); on Azure, Microsoft Maia 200.
About Cloud TPU
| Provider | Google Cloud |
|---|---|
| Status | Generally available |
| What it is | Google's custom AI accelerators (for example v6e Trillium and TPU7x Ironwood) for both training and inference, on Compute Engine, GKE, or Agent Platform. |
| Documentation | docs.cloud.google.com |
| Pricing | Official pricing page |
Mappings (2)
| Capability | AWS | Match (GCP vs AWS) | Azure |
|---|---|---|---|
| Custom AI training silicon (rentable) | AWS Trainium (Trn1, Trn2, Trn3) | Direct match | Microsoft Maia 200 Preview |
| Custom AI inference silicon (rentable) | AWS Inferentia (Inf2) | Partial match | Microsoft Maia 200 Preview |
Custom AI training silicon (rentable) Direct match
AWS Trainium maps to Cloud TPU, Google's custom accelerator, with generations such as v6e (Trillium) and TPU7x (Ironwood).
- TPUs are used for both training and inference; AWS splits these between Trainium and Inferentia.
- TPUs work best with JAX, PyTorch/XLA, or TensorFlow; Trainium uses the AWS Neuron SDK.
Custom AI inference silicon (rentable) Partial match
AWS Inferentia has no inference-only Google chip. Cloud TPUs serve both training and inference.
- Pick a TPU generation and slice size for serving cost and latency instead of an inference-specific chip.
- Serving on TPUs uses frameworks such as JAX or vLLM TPU support, not the Neuron SDK.