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Can 2x DGX Spark (GB10) run DeepSeek V4.1 Flash?

Probably only partly: the weights are larger than its memory, so part of the model likely ran from system RAM. Measured 74.9 tok/s generation with part of the model offloaded to system RAM (TensorFold Zig, 2 nodes, 1 stream, 1017 checkpoint, EXL3 2.9-bit + DSpark; source).

Every measured result for DeepSeek V4.1 Flash on 2x DGX Spark (GB10)

BuildQuant / setupEnginetok/s
2x DGX Spark: DeepSeek V4.1 Flash (1017) EXL3 2.9-bit on TensorFold Zig, 74.9 tok/s (Mia's AI Lab recipe)1017 checkpoint, EXL3 2.9-bit + DSparkTensorFold Zig, 2 nodes, 1 stream74.9 CPU offloadsource
2x DGX Spark: DeepSeek V4.1 Flash EXL3 2.9-bit on vLLM, 31.6 tok/s (Mia's AI Lab recipe)EXL3 2.9-bitvLLM, 2 nodes, 1 stream31.6 CPU offloadsource

Memory: 2x DGX Spark (GB10) has 256 GB. DeepSeek V4.1 Flash weights are about 511 GB in its native format (vLLM recipe: 552B backbone + 196.6B Engram tables, 16B active per output token; official MXFP4/FP8 checkpoint ~511 GB). 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 DeepSeek V4.1 Flash: best home rig for DeepSeek V4.1 Flash.

DeepSeek V4.1 Flash on other hardware: 2x Tesla V100 32GB · 4x DGX Spark (GB10) · Apple M3 Ultra · RTX 5090

Other models measured on 2x DGX Spark (GB10): GLM-5.3 Flash · MiMo V2.6 Flash · Qwen3.8 Flash-Next

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