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Can the NVIDIA RTX 6000 Ada 48GB run Tensor-Transformer(1core)+PN (WT103)?
Yes — here's how fast and up to what context, with real measured numbers.
Tensor-Transformer(1core)+PN (WT103) on the NVIDIA RTX 6000 Ada 48GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 648k | 4107.9-4895.7 t/s | ~171.2-204 (slow) |
| Q8 | yes | 650k | 8215.7-9791.3 t/s | ~342.3-408 (slow) |
| Q4 | yes | 650k | 14670.9-17484.5 t/s | ~611.3-728.5 (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 6000 Ada 48GB run Tensor-Transformer(1core)+PN (WT103)?▶
Yes. At Q4 it generates ~14670.9-17484.5 tok/s and fits up to 650k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~611.3-728.5 tok/s.
How much context fits?▶
At Q4, up to about 650k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.