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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

QuantContextVRAM neededFits?tok/s (decode)
Q44K18.08 GBYes198.5 est.
Q48K default18.38 GBYes198.5 est.
Q432K20.18 GBYes198.5 est.
FP164K62.3 GBNo23.2 est.
FP168K default62.6 GBNo22.9 est.
FP1632K64.4 GBNo21.7 est.

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).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 3090 24GB VRAM
Q416.78 GB0.6 GB1 GB18.38 GB24 GB
FP1661.0 GB0.6 GB1 GB62.6 GB24 GB

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