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Pyyan / Compare / TPU v7 Ironwood vs MI400

TPU v7 Ironwood vs MI400

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GPU & AI Chips · verified 13 Aug 2026

TPU v7 IronwoodGooglecurrent
MI400AMDcurrent
3 slots left
SpecificationTPU v7 IronwoodMI400
SummaryInference-oriented, Google Cloud only.Double NVIDIA's memory capacity.
Memory192GB HBM3e432GB HBM4
Bandwidth7.37 TB/s19.6 TB/s
VendorGoogleAMD
CategoryGPU & AI ChipsGPU & AI Chips
OfficialGoogle ↗AMD ↗

Highlighted rows are where these differ.

TPU v7 Ironwood

  • Requires JAX
  • Not purchasable or on any marketplace

Best for GCP inference.

Full spec sheet →

MI400

  • 19.6 TB/s bandwidth
  • 40 PFLOPS FP4
  • $7.2B in commitments

Best for large-model inference.

Full spec sheet →