Of course, it's not globally distributed and there is no fail-safe, but for the work we're doing, that is no issue. If we employees are offline, it doesn't matter if our tools are offline, too. And now that all AI storage is local anyway, building a GPU compute node is easy. I'm still waiting for 3090 prices to drop further, though, in contrast to the article. But I also went with Ryzon 5950 and Linux. I was positively surprised that 10G fiber networking is now down to $70 for a PCIe card + 20m cable kit. My workstation now has 1010MB/s 4k random write on the network filesystem. (We used SAMBA 3.1 and CIFS mounts)
I also grabbed the python/ubuntu package lists off Google Colab and created my own Docker to imitate it, and now data processing and AI training is fast (I always get the good GPU, no luck involved) and dirt cheap. Originally the idea was to run it on OVH, but I'm now also running it locally.
https://github.com/fxtentacle/ovh-colab-sagemaker-compatibil...