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Can RTX 3090 24GB run Qwen3.6-35B-A3B-FP8?

NVIDIA · 24 GB GDDR6X · 936 GB/s bandwidth · Qwen · 36.0B (active 36.0B) · MoE · model ctx up to NoneK

❌ No — Qwen3.6-35B-A3B-FP8 Q4 needs 24.4 GB, card only has 24 GB
VRAM: 24.4 GB needed of 24 GB
Speed: ~34.7 tok/s (estimated)
FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Cheapest GPU that can: H100 80GB SXM5 See fit details →or☁️ Rent on RunPod from ~$0.50/hr
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K24.4 GBNo45.6 ± est.
Q48K default28.0 GBNo34.7 ± est.
Q432K49.6 GBNo11.0 ± est.
FP164K76.6 GBNo1.3 ± est.
FP168K default80.2 GBNo1.2 ± est.
FP1632K101.8 GBNo

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
Q419.8 GB7.2 GB1 GB28.0 GB24 GB
FP1672.0 GB7.2 GB1 GB80.2 GB24 GB

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