This is the best summary I could come up with:

GPTshop.ai is building what they aim to be “the ultimate high-end desktop” as a supercomputer built around the GH200 focused on AI and HPC workloads.

Their system uses the GH200 Grace Hopper Superchip dual 2000+ Watt power supplies, QCT motherboard, and can be configured with multiple SSDs as well as various NVIDIA Bluefield/Connect-X adapters and more.

Pricing with the GH200 does not come cheap with the currently available GPTshop.ai GH200 576GB model starting out at 47,500 € (~$41k USD due to no taxes when shipped outside the EU).

For the purposes of this testing Ubuntu 23.10 with Linux 6.5 was used for having an up-to-date kernel as well as the GCC 13 stock compiler.

The toolchain versions are close to what will be found in Ubuntu 24.04 LTS in April and using Ubuntu 23.10 is worthwhile for a leading-edge look at the NVIDIA GH200 Linux performance as well as against the other Intel Xeon Scalable, AMD EPYC, and Ampere Altra Max processors for this comparison.

So, unfortunately, for this article are just the initial raw CPU performance benchmark numbers while working on figuring out any way for being able to nicely read any available power metrics.

The original article contains 653 words, the summary contains 196 words. Saved 70%. I’m a bot and I’m open source!