Pyyan / Compare / B200 vs MI400 vs TPU v7 Ironwood

B200 vs MI400 vs TPU v7 Ironwood

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GPU & AI Chips · verified 13 Aug 2026

×B200NVIDIAcurrent
×MI400AMDcurrent
×TPU v7 IronwoodGooglecurrent
2 slots left
SpecificationB200MI400TPU v7 Ironwood
SummaryThe current volume Blackwell part.Double NVIDIA's memory capacity.Inference-oriented, Google Cloud only.
Memory192GB HBM3e432GB HBM4192GB HBM3e
Bandwidth19.6 TB/s7.37 TB/s
Price$30–50K
VendorNVIDIAAMDGoogle
CategoryGPU & AI ChipsGPU & AI ChipsGPU & AI Chips
OfficialNVIDIAAMDGoogle

Highlighted rows are where these differ.

B200

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

Best for general training.

Full spec sheet →

MI400

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

Best for large-model inference.

Full spec sheet →

TPU v7 Ironwood

  • Requires JAX
  • Not purchasable or on any marketplace

Best for GCP inference.

Full spec sheet →