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Can V100 32GB SXM2 run Qwen3.5-9B?

NVIDIA · 32 GB HBM2 · 900 GB/s bandwidth · Alibaba · 8.95B · model ctx up to 256K

✅ Yes — V100 32GB SXM2 (32 GB) can run Qwen3.5-9B at Q4 (8K)
VRAM: 6.26 GB needed of 32 GB
Speed: ~106.1 tok/s (estimated)
SS · ExcellentComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Excellent for 💬 chatExcellent for ⌨️ codingExcellent for 📋 general
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K6.14 GBYes106.1 ± est.
Q48K default6.26 GBYes106.1 ± est.
Q432K7.01 GBYes106.1 ± est.
FP164K19.02 GBYes29.7 ± est.
FP168K default19.15 GBYes29.7 ± est.
FP1632K19.9 GBYes29.7 ± 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 neededV100 32GB SXM2 VRAM
Q45.01 GB0.25 GB1 GB6.26 GB32 GB
FP1617.9 GB0.25 GB1 GB19.15 GB32 GB

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