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Can V100 16GB PCIe run Qwen3.6-35B-A3B?

NVIDIA · 16 GB HBM2 · 900 GB/s bandwidth · Alibaba · 36.0B (active 3.0B) · MoE · model ctx up to 256K

❌ No — Qwen3.6-35B-A3B Q4 needs 20.88 GB, card only has 16 GB
VRAM: 20.88 GB needed of 16 GB
Speed: ~316.9 tok/s (estimated)
FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Your GPU won't fit Qwen3.6-35B-A3B, but runs these similar models: Qwen3-8B, gemma-4-26B-A4B-itor☁️ 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)
Q44K20.88 GBNo319.3 ± est.
Q48K default20.96 GBNo316.9 ± est.
Q432K21.43 GBNo303.1 ± est.
FP164K73.08 GBNo
FP168K default73.16 GBNo
FP1632K73.62 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 neededV100 16GB PCIe VRAM
Q419.8 GB0.16 GB1 GB20.96 GB16 GB
FP1672.0 GB0.16 GB1 GB73.16 GB16 GB

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