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// RUN — FITS
Can the NVIDIA GeForce RTX 3090 run Multilingual-E5-large?
Yes — here's how fast and up to what context, with real measured numbers.
Multilingual-E5-large on the NVIDIA GeForce RTX 3090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 297k | 610.1-727.1 t/s | ~26.1-31.1 (slow) |
| Q8 | yes | 305k | 1220.1-1454.1 t/s | ~52.1-62.1 (slow) |
| Q4 | yes | 309k | 2178.8-2596.7 t/s | ~93.1-111 (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 GeForce RTX 3090 run Multilingual-E5-large?▶
Yes. At Q4 it generates ~2178.8-2596.7 tok/s and fits up to 309k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~93.1-111 tok/s.
How much context fits?▶
At Q4, up to about 309k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.