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Can the NVIDIA H100 SXM5 80GB run Selfish-RNN (SNT-ASGD) Stacked LSTMs?
Yes — here's how fast and up to what context, with real measured numbers.
Selfish-RNN (SNT-ASGD) Stacked LSTMs on the NVIDIA H100 SXM5 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1099k | 48521.8-57827.4 t/s | ~579.4-690.5 (slow) |
| Q8 | yes | 1100k | 97043.7-115654.8 t/s | ~1158.7-1381 (slow) |
| Q4 | yes | 1100k | 173292.2-206526.4 t/s | ~2069.2-2466 (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 H100 SXM5 80GB run Selfish-RNN (SNT-ASGD) Stacked LSTMs?▶
Yes. At Q4 it generates ~173292.2-206526.4 tok/s and fits up to 1100k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~2069.2-2466 tok/s.
How much context fits?▶
At Q4, up to about 1100k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.