🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the NVIDIA RTX PRO 6000 Blackwell run Gemma2 9B CPT Sahabat-AI?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma2 9B CPT Sahabat-AI on the NVIDIA RTX PRO 6000 Blackwell
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 525k | 72.7-86.6 t/s | ~1.6-1.9 (slow) |
| Q8 | yes | 594k | 145.4-173.2 t/s | ~3.2-3.9 (slow) |
| Q4 | yes | 624k | 259.6-309.3 t/s | ~5.8-6.9 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA RTX PRO 6000 Blackwell run Gemma2 9B CPT Sahabat-AI?▶
Yes. At Q4 it generates ~259.6-309.3 tok/s and fits up to 624k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~5.8-6.9 tok/s.
How much context fits?▶
At Q4, up to about 624k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.