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// RUN ON DATACENTER GPU
Run CogVLM-17B 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 → | ~731.1 | yes | 632k | — |
| AMD Instinct MI325X → | ~485.3 | yes | 856k | — |
| NVIDIA H200 → | ~438.7 | yes | 453k | — |
| AMD Instinct MI300X 192GB → | ~428.7 | yes | 632k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~306.1 | yes | 239k | ~$30,000 |
| Intel Gaudi 3 → | ~279.8 | yes | 407k | — |
| NVIDIA A100 SXM4 80GB → | ~186.3 | yes | 239k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~182.8 | yes | 239k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~176.8 | yes | 239k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~163.8 | yes | 295k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB → | ~87.7 | yes | 126k | ~$6,800 |
| NVIDIA L40S 48GB → | ~79 | yes | 126k | ~$10,000 |
| AMD Radeon Pro W7900 48GB → | ~69.9 | yes | 126k | ~$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 CogVLM-17B?▶
On GenAIList, 13 Datacenter GPU options can run CogVLM-17B at Q4 — the fastest is the NVIDIA B200 at ~731.1 tok/s.
How fast is CogVLM-17B on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~69.9 to ~731.1 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.