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Run ALBERT-xxlarge 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 | ~52,887.5 | yes | 2670k | โ |
| AMD Instinct MI325X โ | ~35,106.4 | yes | 3569k | โ |
| NVIDIA H200 โ | ~31,732.5 | yes | 1954k | โ |
| AMD Instinct MI300X 192GB โ | ~31,010.6 | yes | 2670k | ~$15,000 |
| NVIDIA H100 SXM5 80GB โ | ~22,146.7 | yes | 1098k | ~$30,000 |
| Intel Gaudi 3 โ | ~20,243.2 | yes | 1772k | โ |
| NVIDIA A100 SXM4 80GB โ | ~13,479.7 | yes | 1098k | ~$15,000 |
| NVIDIA H100 PCIe 80GB โ | ~13,221.9 | yes | 1098k | ~$25,000 |
| NVIDIA A100 PCIe 80GB โ | ~12,792.2 | yes | 1098k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell โ | ~11,846.8 | yes | 1323k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB โ | ~6,346.5 | yes | 649k | ~$6,800 |
| NVIDIA L40S 48GB โ | ~5,711.9 | yes | 649k | ~$10,000 |
| AMD Radeon Pro W7900 48GB โ | ~5,055.3 | yes | 649k | ~$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 ALBERT-xxlarge?โถ
On GenAIList, 13 Datacenter GPU options can run ALBERT-xxlarge at Q4 โ the fastest is the NVIDIA B200 at ~52,887.5 tok/s.
How fast is ALBERT-xxlarge on Datacenter GPU hardware?โถ
Estimated generation speed ranges from ~5,055.3 to ~52,887.5 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.