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// RUN ON DATACENTER GPU
Run Gemma2 9B CPT Sahabat-AI 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 → | ~1,381 | yes | 1298k | — |
| AMD Instinct MI325X → | ~916.7 | yes | 1747k | — |
| NVIDIA H200 → | ~828.6 | yes | 940k | — |
| AMD Instinct MI300X 192GB → | ~809.7 | yes | 1298k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~578.3 | yes | 512k | ~$30,000 |
| Intel Gaudi 3 → | ~528.6 | yes | 849k | — |
| NVIDIA A100 SXM4 80GB → | ~352 | yes | 512k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~345.2 | yes | 512k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~334 | yes | 512k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~309.3 | yes | 624k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB → | ~165.7 | yes | 287k | ~$6,800 |
| NVIDIA L40S 48GB → | ~149.1 | yes | 287k | ~$10,000 |
| AMD Radeon Pro W7900 48GB → | ~132 | yes | 287k | ~$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 Gemma2 9B CPT Sahabat-AI?▶
On GenAIList, 13 Datacenter GPU options can run Gemma2 9B CPT Sahabat-AI at Q4 — the fastest is the NVIDIA B200 at ~1,381 tok/s.
How fast is Gemma2 9B CPT Sahabat-AI on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~132 to ~1,381 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.