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// RUN — FITS
Can the Huawei Ascend 950DT run NVIDIA-Nemotron-Nano-12B-v2?
Yes — here's how fast and up to what context, with real measured numbers.
NVIDIA-Nemotron-Nano-12B-v2 on the Huawei Ascend 950DT
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 653k | 108.3-131.7 t/s | ~1.1-1.3 (slow) |
| Q8 | yes | 726k | 216.7-263.3 t/s | ~2.2-2.6 (slow) |
| Q4 | yes | 758k | 386.9-470.2 t/s | ~3.9-4.7 (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 Huawei Ascend 950DT run NVIDIA-Nemotron-Nano-12B-v2?▶
Yes. At Q4 it generates ~386.9-470.2 tok/s and fits up to 758k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~3.9-4.7 tok/s.
How much context fits?▶
At Q4, up to about 758k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.