🔌
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 Cosmos-Predict2-2B-Text2Image?
Yes — here's how fast and up to what context, with real measured numbers.
Cosmos-Predict2-2B-Text2Image on the NVIDIA RTX PRO 6000 Blackwell
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1264k | 327-389.8 t/s | ~7.3-8.7 (slow) |
| Q8 | yes | 1294k | 654.1-779.5 t/s | ~14.6-17.4 (slow) |
| Q4 | yes | 1308k | 1168-1392 t/s | ~26.1-31.1 (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.
→ All models on the NVIDIA RTX PRO 6000 Blackwell
→ Cosmos-Predict2-2B-Text2Image specs
→ Other hardware
FAQ
Can the NVIDIA RTX PRO 6000 Blackwell run Cosmos-Predict2-2B-Text2Image?▶
Yes. At Q4 it generates ~1168-1392 tok/s and fits up to 1308k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~26.1-31.1 tok/s.
How much context fits?▶
At Q4, up to about 1308k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.