How fast will GLM-5.3 Flash feel on the NVIDIA RTX PRO 6000 96GB?

GLM-5.3 Flash on the NVIDIA RTX PRO 6000 96GB

GLM-5.3 Flash is a 321.3B-parameter mixture-of-experts model (18B active per token). At UD-IQ1_S it needs about 93.8 GB of memory. The NVIDIA RTX PRO 6000 96GB has 89 GB usable, so it only fits with part of the model offloaded to system RAM, which slows it down. Expect about 90 tokens/sec (34–146), with the first token after 1.2 s for a short prompt. This estimate is projected from the hardware specs; no benchmarks exist yet.

Speed by quantization

QuantizationFile sizeMemoryGenerationFirst tokenSource
UD-IQ1_S93.1 GBPartial offload90 tok/s1.2 sProjected
UD-IQ1_M97.6 GBPartial offload66 tok/s1.2 sProjected
UD-IQ2_XXS101.8 GBPartial offload53 tok/s1.2 sProjected
UD-Q2_K_XL108.7 GBPartial offload40 tok/s1.2 sProjected
UD-IQ3_XXS120.4 GBPartial offload28 tok/s1.2 sProjected
UD-Q3_K_XL147.5 GBPartial offload17 tok/s1.2 sProjected
UD-IQ4_XS156.8 GBPartial offload15 tok/s1.2 sProjected
UD-Q4_K_XL199.7 GBPartial offload9.3 tok/s1.2 sProjected
UD-Q5_K_XL240.3 GBDoesn't fitWon't run——
UD-Q6_K_XL291.8 GBDoesn't fitWon't run——
Q8_0341.0 GBDoesn't fitWon't run——
FP16642.8 GBDoesn't fitWon't run——

GLM-5.3 Flash on other hardware

Other models on the NVIDIA RTX PRO 6000 96GB

All models on the NVIDIA RTX PRO 6000 96GB · GLM-5.3 Flash on all hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.