Pyyan / Compare / MI400 vs B200 vs TPU v7 Ironwood

MI400 vs B200 vs TPU v7 Ironwood

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GPU & AI Chips · verified 13 Aug 2026

×MI400AMDcurrent
×B200NVIDIAcurrent
×TPU v7 IronwoodGooglecurrent
2 slots left
SpecificationMI400B200TPU v7 Ironwood
SummaryDouble NVIDIA's memory capacity.The current volume Blackwell part.Inference-oriented, Google Cloud only.
Memory432GB HBM4192GB HBM3e192GB HBM3e
Bandwidth19.6 TB/s7.37 TB/s
Price$30–50K
VendorAMDNVIDIAGoogle
CategoryGPU & AI ChipsGPU & AI ChipsGPU & AI Chips
OfficialAMDNVIDIAGoogle

Highlighted rows are where these differ.

MI400

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

Best for large-model inference.

Full spec sheet →

B200

  • Sold out through mid-2026
  • ~3.6M unit backlog

Best for general training.

Full spec sheet →

TPU v7 Ironwood

  • Requires JAX
  • Not purchasable or on any marketplace

Best for GCP inference.

Full spec sheet →