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// RUN ON DATACENTER GPU
Run Pythia-160m 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 → | ~77,678.6 | yes | 2671k | — |
| AMD Instinct MI325X → | ~51,562.5 | yes | 3569k | — |
| NVIDIA H200 → | ~46,607.1 | yes | 1955k | — |
| AMD Instinct MI300X 192GB → | ~45,546.9 | yes | 2671k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~32,527.9 | yes | 1099k | ~$30,000 |
| Intel Gaudi 3 → | ~29,732.1 | yes | 1773k | — |
| NVIDIA A100 SXM4 80GB → | ~19,798.3 | yes | 1099k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~19,419.6 | yes | 1099k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~18,788.5 | yes | 1099k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~17,400 | yes | 1323k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB → | ~9,321.4 | yes | 650k | ~$6,800 |
| NVIDIA L40S 48GB → | ~8,389.3 | yes | 650k | ~$10,000 |
| AMD Radeon Pro W7900 48GB → | ~7,425 | yes | 650k | ~$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 Pythia-160m?▶
On GenAIList, 13 Datacenter GPU options can run Pythia-160m at Q4 — the fastest is the NVIDIA B200 at ~77,678.6 tok/s.
How fast is Pythia-160m on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~7,425 to ~77,678.6 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.