Nemotron 3 Nano 4B › NVIDIA DGX Spark (GB10)

Nemotron 3 Nano 4B on the NVIDIA DGX Spark (GB10)

Best measured: 52.9 tokens/s generation and 2,762 tokens/s prompt processing (Q8_0, CUDA, FA on).

For comparison, our size-scaling estimate for this combination is 56.3 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q8_0CUDA FA on52.92,762tg32 ggml-org maintainers Benchmarked repo: https://huggingface.co/ggml-org/Nemotron-3-Nano-4B-GGUFllama.cpp benches/ (maintainer runs)

tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.

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