Can RTX 3090 24GB run Qwen3-30B-A3B-Instruct-2507?
NVIDIA · 24 GB GDDR6X · 936 GB/s bandwidth ·
Alibaba · 30.5B (active 3B) · MoE · model ctx up to 256K
Yes — the RTX 3090 24GB (24 GB GDDR6X) can run Qwen3-30B-A3B-Instruct-2507. At Q4 with the default 8K context it needs ≈ 18.38 GB VRAM (weights 16.78 GB + KV cache 0.6 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 198.5 tok/s (estimated, batch 1). FP16 needs ≈ 62.6 GB — does not fit on this card. 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
18.08 GB
Yes
198.5est.
Q4
8K default
18.38 GB
Yes
198.5est.
Q4
32K
20.18 GB
Yes
198.5est.
FP16
4K
62.3 GB
No
23.2est.
FP16
8K default
62.6 GB
No
22.9est.
FP16
32K
64.4 GB
No
21.7est.
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).