Qwen on NVIDIA Blackwell

Can I run Qwen3 235B-A22B on an NVIDIA DGX Spark (GB10)?

Not at Q4_K_M — it needs 134.8 GB against 96.0 GB available. Drop to IQ3_XXS and it fits, at about 15.7 tokens per second.

Won't fit

134.8 GB of 96.0 GB · 140%
0140 GB
Weights 132.8 GB
KV cache 1.5 GB
Runtime overhead 0.5 GB
Over the limit 38.8 GB

Short by 38.8 GB. You can run it with 66 of 94 layers on the NVIDIA DGX Spark (GB10) and the rest in system RAM, at roughly 6.20 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation6.20tok/s
Prompt processing1186tok/s
Max context0tokens
KV per 1K tokens0GB

Every quantisation of Qwen3 235B-A22B on a NVIDIA DGX Spark (GB10)

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 437.9 GB 439.9 GB Won't fit 1.18
INT8 / W8A8 8.50 232.3 GB 234.3 GB Won't fit 2.59
Q8_0 (GGUF) 8.50 232.3 GB 234.3 GB Won't fit 2.59
FP8 (E4M3) 8.00 218.9 GB 220.9 GB Won't fit 2.80
Q6_K 6.56 179.5 GB 181.5 GB Won't fit 3.74
Q5_K_M 5.67 155.2 GB 157.2 GB Won't fit 4.67
Q5_K_S 5.52 151.1 GB 153.1 GB Won't fit 4.92
Q4_K_M 4.85 132.8 GB 134.8 GB Won't fit 6.20
Q4_K_S 4.58 125.5 GB 127.5 GB Won't fit 6.94
Q4_0 4.55 124.7 GB 126.7 GB Won't fit 6.98
AWQ 4-bit 4.25 118.0 GB 120.0 GB Won't fit 7.82
GPTQ 4-bit 4.25 118.0 GB 120.0 GB Won't fit 7.82
MXFP4 4.25 118.0 GB 120.0 GB Won't fit 7.82
IQ4_XS 4.25 116.5 GB 118.5 GB Won't fit 8.05
Q3_K_M 3.91 107.2 GB 109.2 GB Won't fit 9.84
IQ3_M 3.70 101.5 GB 103.5 GB Won't fit 11.4
IQ3_XXS 3.06 84.1 GB 86.1 GB Runs comfortably 62K 15.7
Q2_K 2.63 72.4 GB 74.4 GB Runs comfortably 126K 17.6
IQ2_XXS 2.06 56.9 GB 58.9 GB Runs comfortably 128K 21.2
IQ1_M 1.75 48.4 GB 50.4 GB Runs comfortably 128K 23.7

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