Pyyan / Compare / Ascend 950DT vs B300 Blackwell Ultra vs B200 vs MI400 vs H100

Ascend 950DT vs B300 Blackwell Ultra vs B200 vs MI400 vs H100

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GPU & AI Chips · verified 10 Sept 2026

×HAscend 950DTHuaweicurrent
×B300 Blackwell UltraNVIDIAcurrent
×B200NVIDIAcurrent
×MI400AMDcurrent
×H100NVIDIAcurrent
SpecificationAscend 950DTB300 Blackwell UltraB200MI400H100
Summary144GB on Huawei's own HBM, and the part China is building gigawatts around.15 PFLOPS dense FP4.The current volume Blackwell part.Double NVIDIA's memory capacity.The workhorse of the previous generation.
Memory144GB HiZQ 2.0288GB HBM3e192GB HBM3e432GB HBM480GB HBM3
Bandwidth4 TB/s8 TB/s19.6 TB/s
PriceAbove ¥250,000 (about $37K), reported~$40–50K (verify)$30–50K$25–40K
VendorHuaweiNVIDIANVIDIAAMDNVIDIA
CategoryGPU & AI ChipsGPU & AI ChipsGPU & AI ChipsGPU & AI ChipsGPU & AI Chips
OfficialHuaweiNVIDIANVIDIAAMDNVIDIA

Highlighted rows are where these differ.

Ascend 950DT

  • 4 TB/s memory bandwidth and a 2 TB/s interconnect, 2.5x the Ascend 910C
  • HiZQ 2.0 is Huawei's own memory standard rather than a licensed HBM3 or HBM3e part
  • Indicated price rose 20% to 50% in two months to September 2026, on a memory shortage

Best for serving models where Nvidia cannot be bought.

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 →