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Can the NVIDIA H200 run data2vec (language)?
Yes — here's how fast and up to what context, with real measured numbers.
data2vec (language) on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1935k | 2484.6-2961.1 t/s | ~20.7-24.7 (slow) |
| Q8 | yes | 1946k | 4969.3-5922.3 t/s | ~41.4-49.4 (slow) |
| Q4 | yes | 1950k | 8873.7-10575.5 t/s | ~73.9-88.1 (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.
FAQ
Can the NVIDIA H200 run data2vec (language)?▶
Yes. At Q4 it generates ~8873.7-10575.5 tok/s and fits up to 1950k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~73.9-88.1 tok/s.
How much context fits?▶
At Q4, up to about 1950k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.