TL;DR: Traditional HPC architecture is already good enough for large-scale ML tasks, but using the more cost-effective, commodity cloud datacenter architecture

TL;DR: Traditional HPC architecture is already good enough for large-scale ML tasks, but using the more cost-effective, commodity cloud datacenter architecture with some tweaks in virtualization to improve performance we got the solution that works fast enough while also more user-friendly for AI researchers. P.S. This TL;DR was provided by human agent with no AI-generated parts.