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// RUN — FITS
Can the NVIDIA GeForce RTX 3080 10GB run (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)?
Yes — here's how fast and up to what context, with real measured numbers.
(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) on the NVIDIA GeForce RTX 3080 10GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 112k | 1499.5-1787 t/s | ~78.9-94.1 (slow) |
| Q8 | yes | 115k | 2998.9-3574.1 t/s | ~157.8-188.1 (slow) |
| Q4 | yes | 116k | 5355.2-6382.2 t/s | ~281.9-335.9 (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.
→ All models on the NVIDIA GeForce RTX 3080 10GB
→ (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2) specs
→ Other hardware
FAQ
Can the NVIDIA GeForce RTX 3080 10GB run (ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)?▶
Yes. At Q4 it generates ~5355.2-6382.2 tok/s and fits up to 116k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~281.9-335.9 tok/s.
How much context fits?▶
At Q4, up to about 116k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.