If you’ve been following NVIDIA’s AI roadmap, you’ve probably seen the buzz around something called the DGX Spark — a compact, workstation-class AI development system that looks like a miniature desktop, but is built as a data-center node.

Well, I’ve just added one to my lab. I recently purchased the DGX Spark, and I’ve been putting it through its paces — exploring how it fits into my AI engineering workflow.

But what exactly is it? And who’s it for — and maybe more importantly, who is it not for?

In this video, I’ll unpack what the DGX Spark actually is, why NVIDIA built it, and how it bridges local development with enterprise-scale AI deployment.
So let’s start with why the DGX Spark exists.

DGX Spark Overview Video