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Can V100 32GB SXM2 run Qwen3-14B?

NVIDIA · 32 GB HBM2 · 900 GB/s bandwidth · Alibaba · 14.8B · model ctx up to 128K

✅ Yes — V100 32GB SXM2 (32 GB) can run Qwen3-14B at Q4 (8K)
VRAM: 10.39 GB needed of 32 GB
Speed: ~65.4 tok/s (estimated)
SS · ExcellentComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K9.77 GBYes65.4 ± est.
Q48K default10.39 GBYes65.4 ± est.
Q432K14.14 GBYes65.4 ± est.
FP164K31.23 GBYes18.0 ± est.
FP168K default31.85 GBYes18.0 ± est.
FP1632K35.6 GBNo24.5 ± 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
Q48.14 GB1.25 GB1 GB10.39 GB32 GB
FP1629.6 GB1.25 GB1 GB31.85 GB32 GB

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