Can 3x DGX Spark (GB10) run GLM-5.3?
Probably only partly: the weights are larger than its memory, so part of the model likely ran from system RAM. Measured 31.3 tok/s generation with part of the model offloaded to system RAM (TensorFold, 3 nodes, 1 stream, EXL3 2.75-bit + DSpark; source).
Every measured result for GLM-5.3 on 3x DGX Spark (GB10)
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| 3x DGX Spark: GLM-5.3 EXL3 2.75-bit on TensorFold, 31.3 tok/s (Mia's AI Lab recipe) | EXL3 2.75-bit + DSpark | TensorFold, 3 nodes, 1 stream | 31.3 CPU offload | source |
Memory: 3x DGX Spark (GB10) has 384 GB. GLM-5.3 weights are about 460.7 GB at Q4_K_M (753B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.
Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.
All measured speeds for GLM-5.3: best home rig for GLM-5.3.
Other models measured on 3x DGX Spark (GB10): GLM-5.3 Flash
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