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Can DGX Spark (GH200 480GB) run GLM-5.1?

NVIDIA · 480 GB LPDDR5X · 500 GB/s bandwidth · Z.ai · 753.9B (active 40B) · MoE · model ctx up to 198K

CC · WorkableComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

Yes — the DGX Spark (GH200 480GB) (480 GB LPDDR5X) can run GLM-5.1. At Q4 with the default 8K context it needs ≈ 423.65 GB VRAM (weights 414.65 GB + KV cache 8.0 GB + 1 GB runtime overhead), which fits within 480 GB. Decode at Q4/8K: ≈ 8.0 tok/s (estimated, batch 1). FP16 needs ≈ 1516.8 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy DGX Spark (GH200 480GB) on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K419.65 GBYes8.0 ± est.
Q48K default423.65 GBYes8.0 ± est.
Q432K447.65 GBYes8.0 ± est.
FP164K1512.8 GBNo0.6 ± est.
FP168K default1516.8 GBNo0.6 ± est.
FP1632K1540.8 GBNo0.6 ± 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 neededDGX Spark (GH200 480GB) VRAM
Q4414.65 GB8.0 GB1 GB423.65 GB480 GB
FP161507.8 GB8.0 GB1 GB1516.8 GB480 GB

Other GPUs that run GLM-5.1

No catalog GPU fully fits GLM-5.1 at Q4/8K — see the model page for offload estimates. model page

All GPUs for GLM-5.1 →

Other models for the DGX Spark (GH200 480GB)

All models on the DGX Spark (GH200 480GB) →