Pyyan / Compare / MI400 vs B300 Blackwell Ultra vs TPU v7 Ironwood

MI400 vs B300 Blackwell Ultra vs TPU v7 Ironwood

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GPU & AI Chips · verified 13 Aug 2026

×MI400AMDcurrent
×B300 Blackwell UltraNVIDIAcurrent
×TPU v7 IronwoodGooglecurrent
2 slots left
SpecificationMI400B300 Blackwell UltraTPU v7 Ironwood
SummaryDouble NVIDIA's memory capacity.15 PFLOPS dense FP4.Inference-oriented, Google Cloud only.
Memory432GB HBM4288GB HBM3e192GB HBM3e
Bandwidth19.6 TB/s8 TB/s7.37 TB/s
Price~$40–50K (verify)
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 →

B300 Blackwell Ultra

  • 8 TB/s memory bandwidth
  • Per-GPU pricing widely misquoted — one source cites rack pricing

Best for frontier training.

Full spec sheet →

TPU v7 Ironwood

  • Requires JAX
  • Not purchasable or on any marketplace

Best for GCP inference.

Full spec sheet →