← AI Hashrate 中文

Can V100 32GB SXM2 run Qwen3.5-27B?

NVIDIA · 32 GB HBM2 · 900 GB/s bandwidth · Alibaba · 27.0B · model ctx up to 256K

✅ Yes — V100 32GB SXM2 (32 GB) can run Qwen3.5-27B at Q4 (8K)
VRAM: 16.35 GB needed of 32 GB
Speed: ~35.8 tok/s (estimated)
AA · GreatComposite 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)
Q44K16.1 GBYes35.8 ± est.
Q48K default16.35 GBYes35.8 ± est.
Q432K17.85 GBYes35.8 ± est.
FP164K55.25 GBNo5.6 ± est.
FP168K default55.5 GBNo5.5 ± est.
FP1632K57.0 GBNo5.2 ± 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
Q414.85 GB0.5 GB1 GB16.35 GB32 GB
FP1654.0 GB0.5 GB1 GB55.5 GB32 GB

Other GPUs that run Qwen3.5-27B

All GPUs for Qwen3.5-27B →

Other models for the V100 32GB SXM2

All models on the V100 32GB SXM2 →