Can RTX 4090D 24GB (China) run DeepSeek-R1-0528-Qwen3-8B?
NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth ·
DeepSeek · 8.2B · model ctx up to 128K
Yes — the RTX 4090D 24GB (China) (24 GB GDDR6X) can run DeepSeek-R1-0528-Qwen3-8B. At Q4 with the default 8K context it needs ≈ 7.15 GB VRAM (weights 4.51 GB + KV cache 1.64 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 78.2 tok/s (estimated, batch 1). FP16 (≈ 19.04 GB) also fits, at ≈ 21.5 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
6.33 GB
Yes
78.2est.
Q4
8K default
7.15 GB
Yes
78.2est.
Q4
32K
12.07 GB
Yes
78.2est.
FP16
4K
18.22 GB
Yes
21.5est.
FP16
8K default
19.04 GB
Yes
21.5est.
FP16
32K
23.96 GB
No
61.7est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).