GLM-4.7-Flash › NVIDIA DGX Spark (GB10)

GLM-4.7-Flash on the NVIDIA DGX Spark (GB10)

Best measured: 48.7 tokens/s generation and 2,364 tokens/s prompt processing (Q8_0, CUDA, FA on).

For comparison, our size-scaling estimate for this combination is 37.4 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q8_0CUDA FA on48.72,364tg32 ggml-org maintainers Benchmarked repo: https://huggingface.co/ggml-org/GLM-4.7-Flash-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.

Check prices

Amazon Newegg

As an Amazon Associate I earn from qualifying purchases.

No card yet?

Try it on a rented GPU (RunPod)

Affiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.

All results for the NVIDIA DGX Spark (GB10) · GLM-4.7-Flash on other hardware