System to serve as a proof of concept for applying API-driven automation to scientific computing
Oxide Computing's 2,500 pound rackscale blade servers are getting a new home at the Department of Energy's Lawrence Livermore National Laboratory .
As novel as Oxide's approach to hardware might be, it won't be taking over for any of the HPC clusters, like El Capitan, that call LLNL home. The goal is to begin introducing teams to more of an API-driven approach to automating, deploying, and managing virtualized services. This approach, Gamblin explained, also gives LNLL a more flexible way of siloing and isolating users within the rack.
But even if Oxide's hardware can't replace HPE's Cray EX cabinets just yet, Gamblin is already thinking about how to apply the same kind of virtualization, abstraction, and automation to large scale HPC clusters. "If we had a fully virtualized system — the oxide rack, is a way of prototyping this on the infrastructure side — we could run the workloads for both of those zones on the same rack, and we could essentially allow the zones themselves to be elastic," Gamblin said."We see this as a prototype of how we would like the center to function in the future.
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