Pyyan / Compare / Groq LPU vs B300 Blackwell Ultra vs B200 vs MI400 vs H100

Groq LPU vs B300 Blackwell Ultra vs B200 vs MI400 vs H100

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GPU & AI Chips · verified 13 Aug 2026

×Groq LPUGroqcurrent
×B300 Blackwell UltraNVIDIAcurrent
×B200NVIDIAcurrent
×MI400AMDcurrent
×H100NVIDIAcurrent
SpecificationGroq LPUB300 Blackwell UltraB200MI400H100
SummaryInference only, ~18× GPU speed.15 PFLOPS dense FP4.The current volume Blackwell part.Double NVIDIA's memory capacity.The workhorse of the previous generation.
Memory288GB HBM3e192GB HBM3e432GB HBM480GB HBM3
Bandwidth8 TB/s19.6 TB/s
Price~$40–50K (verify)$30–50K$25–40K
VendorGroqNVIDIANVIDIAAMDNVIDIA
CategoryGPU & AI ChipsGPU & AI ChipsGPU & AI ChipsGPU & AI ChipsGPU & AI Chips
OfficialGroqNVIDIANVIDIAAMDNVIDIA

Highlighted rows are where these differ.

Groq LPU

  • No training capability

Best for low-latency serving.

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 →

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 →

H100

The workhorse of the previous generation.

Best for value.

Full spec sheet →