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Can V100 32GB SXM2 run GLM-5.1?

NVIDIA · 32 GB HBM2 · 900 GB/s bandwidth · Z.ai · 753.9B (active 40B) · MoE · model ctx up to 198K

❌ No — GLM-5.1 Q4 needs 420.52 GB, card only has 32 GB
VRAM: 420.52 GB needed of 32 GB
FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Your GPU won't fit GLM-5.1, 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)
Q44K420.52 GBNo
Q48K default425.4 GBNo
Q432K454.65 GBNo
FP164K1513.67 GBNo
FP168K default1518.55 GBNo
FP1632K1547.8 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 neededV100 32GB SXM2 VRAM
Q4414.65 GB9.75 GB1 GB425.4 GB32 GB
FP161507.8 GB9.75 GB1 GB1518.55 GB32 GB

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