How fast will DeepSeek V4 Flash feel on the H200 141GB (cloud)?

DeepSeek V4 Flash on the H200 141GB (cloud)

DeepSeek V4 Flash is a 304.18B-parameter mixture-of-experts model (13B active per token). At UD-Q3_K_XL it needs about 129.0 GB of memory. The H200 141GB (cloud) has 131 GB usable, so it fits entirely in memory. Expect about 353 tokens/sec (128–578), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.

Speed by quantization

QuantizationFile sizeMemoryGenerationFirst tokenSource
UD-IQ1_S82.5 GBFits549 tok/s0.3 sDerived
UD-IQ1_M86.9 GBFits521 tok/s0.3 sDerived
UD-IQ2_XXS90.9 GBFits498 tok/s0.3 sDerived
UD-IQ2_M90.9 GBFits498 tok/s0.3 sDerived
UD-Q2_K_XL96.8 GBFits468 tok/s0.3 sDerived
UD-IQ3_XXS104.2 GBFits434 tok/s0.3 sDerived
UD-IQ3_S116.1 GBFits390 tok/s0.3 sDerived
UD-Q3_K_M128.1 GBFits354 tok/s0.3 sDerived
UD-Q3_K_XL128.2 GBFits353 tok/s0.3 sDerived
UD-IQ4_XS136.7 GBDoesn't fitWon't run——
UD-IQ4_NL136.7 GBDoesn't fitWon't run——
UD-Q4_K_XL155.1 GBDoesn't fitWon't run——
UD-Q8_K_XL161.9 GBDoesn't fitWon't run——

DeepSeek V4 Flash on other hardware

Other models on the H200 141GB (cloud)

All models on the H200 141GB (cloud) · DeepSeek V4 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.