Thanks to the Computex, we now know that there's an RTX 5070-like GPU inside Nvidia's 'supercomputer

At its GTC event in March, Nvidia formally launched the , a mini-PC-sized desktop computer, created for AI enthusiasts and home developers. While Team Green offered a lot of information about the overall specifications, the full details of the GPU inside weren't disclosed. However, thanks to the annual design award scheme run by Computex, we now know that the supercomputer-at-home is essentially running an .

This little detail was spotted by , though you can see the information directly at the . Tucked away inside the GB10 chip are 6,144 CUDA cores—exactly the same number as sported by the graphics card (and, incidentally, the ).

Of course, despite both GPUs using Nvidia's architecture, the GB10 isn't a gaming processor. First of all, there's the dearth of memory bandwidth—just 273 GB/s to the RTX 5070's 672 GB/s.

At least, you're getting a whole lot more RAM, as the DGX Spark sports 128 GB of LPDDR5x, which is unified and shared by the Grace CPU and Blackwell GPU. The RTX 5070 just has a measly 12 GB of GDDR7.

Ignoring the huge amount of RAM for the moment, that bandwidth is more typical of what an iGPU in a really good handheld gaming PC or laptop might offer, so it doesn't mean you couldn't game on the GB10. But given that the DGX Spark runs a custom Nvidia operating system, you're not going to be slapping [[link]] your Steam library on it any time soon.

One thing I did find interesting was a comment made by (now that's a name and a half!) on Weibo (via Videocardz), which spoke to MSI at Computex and discovered the little supercomputer uses up to 224 W of power. 'So what?', you may think. Well, the TGP of the RTX 5070 is 300 W, so the GB10's GPU must be clocked a lot lower, yes?

Perhaps, but Nvidia says the GB10 has a peak tensor output of 1000 AI TOPS, whereas the RTX 5070 is 988. That means the Spark's GPU is either quite different from the GB205 in the 5070, or the AI throughput figures for both devices are very theoretical ones. Either way, 224 W for something with a 20-core Arm CPU, an RTX 5070-like GPU, and 128 GB of RAM seems pretty darn good.

We still have no idea exactly how much the DGX Spark will sell for, but it did have a of $4,000 bar a single buck. If I were an AI home enthusiast, I'd probably be very tempted—four thousand dollars might seem to be too expensive, but that 128 GB of unified RAM is perfect for AI training.

You'd have to spend far more than that to build your own rig and fit it with enough workstation GPUs to match the same level of memory.

I do wonder how long it will [[link]] be before somebody turns a DGX Spark into a mini-sized gaming PC, though. Nvidia's DGX OS will probably be anything but easy to work with, in that respect, but if I've learned anything about the modding community, it's that the bigger the challenge, the more people will try to make it work.