Yes, AMD's EPYC line and derivatives, with their reasonably nice memory partitioning is *excellent* for running independent VMs. It does a good job of letting you scale your core counts appropriately to the size of the VM.
Nvidia's GeForce NOW game streaming platform runs (ran? I'm not there anymore, though this information is publicly available from 2023 at least) on these AMD CPUs precisely because of the excellent workload isolation and scalability. Paul On Mon, Dec 30, 2024, 12:15 p.m. <tlaro...@kergis.com> wrote: > Perhaps the target market is not really HPC in the sense of trying to > speed up _one_ task by doing it, parallely, concurrently, on a lot of > cores, but more the "cloud": limited needs for global synchronization, > since, all in all, there are separate VMs running at the same time > but almost orthogonal---even the storage is in fact segregated. So > it is a more tightly coupled cluster of separated systems, allowing > speedy migration of tasks, than a single system (for a single > task---computing weather evolution or simulating complex physics > systems. Just a guess. > > > > > > > On Mon, Dec 30, 2024 at 10:00?AM Ron Minnich <rminn...@p9f.org> wrote: > > > > > On Mon, Dec 30, 2024 at 9:39?AM Bakul Shah via 9fans <9fans@9fans.net> > > > wrote: > > > > > > > > I wonder how these many-core systems share memory effectively. > > > > > > Typically there is an on-chip network, and at least on some systems, > > > memory blocks scattered among the cores. > > > > > > See the Esperanto SOC-1 for one example. > > -- > Thierry Laronde <tlaronde +AT+ kergis +dot+ com> > http://www.kergis.com/ > http://kertex.kergis.com/ > Key fingerprint = 0FF7 E906 FBAF FE95 FD89 250D 52B1 AE95 6006 F40C ------------------------------------------ 9fans: 9fans Permalink: https://9fans.topicbox.com/groups/9fans/T7692a612f26c8ec5-M72399792ed2cf545ee3b5efe Delivery options: https://9fans.topicbox.com/groups/9fans/subscription
