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Can RTX 3090 Ti 24GB run Qwen3-8B?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · Alibaba · 8.2B · model ctx up to 128K

Yes — the RTX 3090 Ti 24GB (24 GB GDDR6X) can run 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K6.33 GBYes78.2 est.
Q48K default7.15 GBYes78.2 est.
Q432K12.07 GBYes78.2 est.
FP164K18.22 GBYes21.5 est.
FP168K default19.04 GBYes21.5 est.
FP1632K23.96 GBNo61.7 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 Ti 24GB VRAM
Q44.51 GB1.64 GB1 GB7.15 GB24 GB
FP1616.4 GB1.64 GB1 GB19.04 GB24 GB

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