DGX Spark at 6,950 Dollars: What the Current Price Buys
When NVIDIA announced DGX Spark, the headline price was 3,999 dollars. The price in our directory, checked against NVIDIA's own listing in November 2026, is 6,950 dollars for the 128 GB, 4 TB configuration. That gap is the story: the little Grace Blackwell box got more expensive, and the question changed from "cheap for what it is" to "worth it against what else 6,950 dollars buys".
What the money buys is specific: a GB10 superchip, 128 GB of unified memory, a published 1,000 TOPS figure, and the NVIDIA software stack in a box that sits on a desk and runs models up to 200B parameters at low precision by the maker's own sizing. Nothing else in this directory combines CUDA, that much unified memory and that form factor.
DGS Spark and the nearby alternatives, from the directory
| System | Memory | AI figure | US list price |
|---|---|---|---|
| NVIDIA DGX Spark 128 GB | 128 GB unified | 1,000 TOPS (published) | $6,950 |
| ASUS Ascent GX10 GB10 128GB 1TB | 128 GB unified | 1000 TOPS | $5,999 |
| Apple Mac Studio M3 Ultra 96GB 1TB | 96 GB unified | Not published | $3,999 |
| Framework Desktop Ryzen AI Max+ 395 128GB | 128 GB unified | 50 TOPS | $3,449 |
| Beelink GTR9 Pro Ryzen AI Max+ 395 128GB 2TB | 128 GB unified | 50 TOPS | $4,349 |
What the same money range holds
The alternatives split by stack. The ASUS Ascent GX10 is the same GB10 recipe from a partner at a lower listed price with less storage. The Mac Studio M3 Ultra at 96 GB is the MLX path. The Framework and Beelink AI Max boxes are the value path: 128 GB of unified memory on AMD silicon for notably less money, with a younger software ecosystem as the trade.
Power and placement belong in the context too. The Spark is a desktop box, built to sit next to a monitor rather than in a rack, and it runs the same DGX software stack as NVIDIA's data center systems. That stack is the real reason teams buy it as a development seat: work done on the Spark moves to B200 class clusters without rebuilding the environment. If your work never leaves the desk and never touches CUDA, that portability is worth little, and the cheaper unified memory boxes in the table take the value argument easily.
Our verdict from the data: at 3,999 the Spark was an easy recommendation for CUDA loyalists. At 6,950 it is a considered one: buy it for the stack and the support, not the silicon per dollar, and check the partner GB10 boxes before you check out. Its full specs are on the DGX Spark profile.