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DGX Spark vs RTX 3090 x2

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Best sourced output tok/s per model (single-stream generation) — engine and version, quantization, context and a source link on every row. Hover a value for the quant.

DGX Spark52 sourced runs · best 86.8 tok/s
RTX 3090 x28 verified runs · best 240.8 tok/s

Specs and evidence

DGX SparkRTX 3090 x2
VRAM128 GB24 GB
Sourced runs on the board528
Models measured97
Best output tok/s86.8 tok/s240.8 tok/s
Highest measured peak VRAM—42.9 GB
Street price (latest snapshot)——

Sourced rows only. Peak VRAM is recorded by the person who ran the benchmark, so it is a floor for what the card can hold, not a specification. Price snapshots.

Head-to-head

On the 2 models measured on both cards, DGX Spark leads on 1, RTX 3090 x2 on 1. The widest gap is on Qwen3.8-27B: DGX Spark 56.0 tok/s vs RTX 3090 x2 219.8 tok/s (RTX 3090 x2 292% faster).

The measured matrix

ModelDGX SparkRTX 3090 x2
Qwen3.6-27B—240.8 AutoRound INT4
Qwen3.8-27B56.0 NVFP4 W4A4219.8 AutoRound INT4 + fp8 KV
NVIDIA-Nemotron-3.5-Lightning-30B-A3B—197.0 NVFP4
MiniCPM-V 4.7-35B-A3B—172.2 int4
Qwen 3.8 Flash86.8 EXL3 3.05bpw—
Qwen3.8-Flash-Next75.7 4.05bpw_h6_ng640.1 Unsloth-Dynamic-IQ3_XXS
Nanbeige4.3-33B—66.2 W4A16 (INT4 AutoRound, GPTQ, gro
GLM-5.3-Flash64.1 EXL3 2.05 bpw—
CYBER-FROST-3.860.7 EXL3—
Qwen3.8-Flash-Next-hibrid4860.0 NVFP4 (output head)—
Qwen3.8-Flash-Next-REAP-256-duo—53.5 Unsloth-Dynamic-Q3_K_XL
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B48.0 NVFP4—
DeepSeek-V4.1-Flash47.0 FP4—
Underdog-Saluki-27B22.6 IQ2-mix—

Head-to-head (models tested on both): DGX Spark 1 · RTX 3090 x2 1 · tied 0 · data as of Oct 30, 2026. Full rules: methodology.

Related reading: RTX 5090 vs 3090 · quantization · Value index · Full board

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