u/Bushman4632

I’m looking at the NVIDIA DGX Spark and ASUS Ascent GX10, both built around the GB10 platform, and I’m curious which one people would actually choose for a serious local AI setup.
Main workloads would be:

Local LLM inference
Fine-tuning / experimentation
Coding agents
Running multiple AI services locally
General development and research
If price were reasonably close, which would you pick?
I’m especially interested in real-world differences around thermals, noise, sustained performance, software/support, reliability, and overall value.
Would you go DGX Spark because it’s the NVIDIA reference system, or ASUS Ascent GX10 for another reason?

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I finally shipped a project I’ve been working on for the past few months.
It’s called DayFuse, a task manager focused on helping you execute your day instead of maintaining endless lists of tasks you’ll never touch again.
The idea came from my own frustration with bouncing between multiple productivity apps and still feeling like I wasn’t actually getting things done.
A few features:
Daily task planning
Progress tracking
Clean and simple UI
Built for people who want to focus on execution

I’d love some honest feedback from other builders:
What makes you stick with a task manager?
What causes you to abandon one?
Is there anything you’d immediately change from the screenshots?
Happy to answer questions about the build process too.