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Run MoEFold2D on Datacenter GPU hardware
13 options ranked by estimated speed at Q4 / 8k context.
| Hardware | Est tok/s | Fits 8k? | Max ctx | ~Price |
|---|---|---|---|---|
| NVIDIA B200 โ | ~12,946,428.6 | yes | 2672k | โ |
| AMD Instinct MI325X โ | ~8,593,750 | yes | 3571k | โ |
| NVIDIA H200 โ | ~7,767,857.1 | yes | 1956k | โ |
| AMD Instinct MI300X 192GB โ | ~7,591,145.8 | yes | 2672k | ~$15,000 |
| NVIDIA H100 SXM5 80GB โ | ~5,421,317 | yes | 1100k | ~$30,000 |
| Intel Gaudi 3 โ | ~4,955,357.1 | yes | 1774k | โ |
| NVIDIA A100 SXM4 80GB โ | ~3,299,721 | yes | 1100k | ~$15,000 |
| NVIDIA H100 PCIe 80GB โ | ~3,236,607.1 | yes | 1100k | ~$25,000 |
| NVIDIA A100 PCIe 80GB โ | ~3,131,417.4 | yes | 1100k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell โ | ~2,900,000 | yes | 1325k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB โ | ~1,553,571.4 | yes | 651k | ~$6,800 |
| NVIDIA L40S 48GB โ | ~1,398,214.3 | yes | 651k | ~$10,000 |
| AMD Radeon Pro W7900 48GB โ | ~1,237,500 | yes | 651k | ~$3,999 |
Estimate at Q4 (memory-bound). Click any option for its full per-hardware estimate and measured numbers.
FAQ
What Datacenter GPU hardware runs MoEFold2D?โถ
On GenAIList, 13 Datacenter GPU options can run MoEFold2D at Q4 โ the fastest is the NVIDIA B200 at ~12,946,428.6 tok/s.
How fast is MoEFold2D on Datacenter GPU hardware?โถ
Estimated generation speed ranges from ~1,237,500 to ~12,946,428.6 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.