Pyyan / Compare / Trainium 3 vs B300 Blackwell Ultra vs MI400 vs Ascend 950DT
Trainium 3 vs B300 Blackwell Ultra vs MI400 vs Ascend 950DT
4 of 5GPU & AI Chips · verified 24 Sept 2026
| Specification | Trainium 3 | B300 Blackwell Ultra | MI400 | Ascend 950DT |
|---|---|---|---|---|
| Summary | 30–40% better price-performance. | 15 PFLOPS dense FP4. | Double NVIDIA's memory capacity. | 144GB on Huawei's own HBM, and the part China is building gigawatts around. |
| Memory | 144GB HBM3e | 288GB HBM3e | 432GB HBM4 | 144GB HiZQ 2.0 |
| Bandwidth | — | 8 TB/s | 19.6 TB/s | 4 TB/s |
| Price | — | ~$40–50K (verify) | — | Above ¥250,000 (about $37K), reported |
| Vendor | AWS | NVIDIA | AMD | Huawei |
| Category | GPU & AI Chips | GPU & AI Chips | GPU & AI Chips | GPU & AI Chips |
| Official | AWS ↗ | NVIDIA ↗ | AMD ↗ | Huawei ↗ |
Highlighted rows are where these differ.
B300 Blackwell Ultra
- 8 TB/s memory bandwidth
- Per-GPU pricing widely misquoted — one source cites rack pricing
Best for frontier training.
MI400
- 19.6 TB/s bandwidth
- 40 PFLOPS FP4
- $7.2B in commitments
Best for large-model inference.
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
- Successor Ascend 960DT pulled forward to Q1 2027, Huawei said on 17 September
Best for serving models where Nvidia cannot be bought.