Dual dgx spark (Asus GX10) MiniMax M2.7 results

Reddit r/LocalLLaMA / 4/21/2026

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Key Points

The author replaced a dual-3090 setup with dual Asus GX10 “DGX Spark” units to reduce heat and loudness, reporting about 100W power draw per GX10 during inference.
They successfully ran the MiniMax M2.7 AWQ 4-bit model from Hugging Face using existing open-source code and an “Hermes agent” with no errors.
Using llama benchy in latency-mode across context depths (4k up to 102.4k), they observed varying throughput and notably high time-to-first-token values.
Overall, despite higher TTFT, the author considers the switch a win and is even considering selling their older MI50 cards.
An edit adds a 100k depth benchmark, extending the reported performance results to very long context lengths.

hi all
I have dual 3090 and 8 x mi50 32gb and I was tired of heat and loudness of these machines. So inspired by this post and others on nvidia forum I've purchased dual Asus GX10 (dgx spark) and I'm so happy.
Each GX10 consumes about 100W during inference.

Time to first token is quite high but for me it's a win
Without a hassle I can run https://huggingface.co/cyankiwi/MiniMax-M2.7-AWQ-4bit/
I've used open code and hermes agent, no errors, just going - I love it!

Here are my results using llama benchy --depth 0 4096 8192 16384 32768 --latency-mode generation:

| test | t/s | peak t/s | ttfr (ms) | est_ppt (ms) | e2e_ttft (ms) | |----------------:|----------------:|-------------:|------------------:|------------------:|------------------:| | pp2048 | 3452.05 ± 73.32 | | 626.82 ± 19.83 | 511.74 ± 19.83 | 626.84 ± 19.83 | | tg32 | 38.84 ± 0.01 | 40.09 ± 0.01 | | | | | pp2048 @ d4096 | 2848.85 ± 35.82 | | 2022.61 ± 28.98 | 1907.54 ± 28.98 | 2022.65 ± 28.98 | | tg32 @ d4096 | 37.37 ± 0.23 | 38.57 ± 0.24 | | | | | pp2048 @ d8192 | 2579.85 ± 18.26 | | 3523.69 ± 61.33 | 3408.62 ± 61.33 | 3523.73 ± 61.33 | | tg32 @ d8192 | 36.27 ± 0.14 | 37.44 ± 0.15 | | | | | pp2048 @ d16384 | 2411.34 ± 7.68 | | 6791.62 ± 57.14 | 6676.55 ± 57.14 | 6791.66 ± 57.14 | | tg32 @ d16384 | 34.12 ± 0.11 | 35.23 ± 0.12 | | | | | pp2048 @ d32768 | 1988.05 ± 12.95 | | 15512.61 ± 147.98 | 15397.54 ± 147.98 | 15512.65 ± 147.98 | | tg32 @ d32768 | 30.72 ± 0.08 | 31.00 ± 0.00 | | | | | pp2048 @ d102400 | 1167.98 ± 9.19 | | 78208.55 ± 573.73 | 78118.97 ± 573.73 | 78208.59 ± 573.73 | | tg32 @ d102400 | 21.63 ± 0.07 | 23.00 ± 0.00 | | | |

I start to consider selling my mi50 ;)

Edit: info about llama benchy, added 100k depth

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