From Static Allocations to Guaranteed Quotas
Why Virtualize AI
Decouple data science from hardware
AI accelerators are typically deployed in data centers as bare metal and are allocated statically to data scientists. Working in this way frustrates the process of experimentation, slowing down, and holding back innovation. Managing bare metal creates infrastructure hassles for IT teams as management, visibility, maintenance of hardware, and other critical tasks are cumbersome. Run:AI solves these challenges with a new virtualization paradigm, tailored for AI infrastructure.
Speed Data Science Workflows
Never hit compute or memory bottlenecks again
Run:AI virtualization software gives data scientists the flexibility to automatically run as many compute intensive experiments as needed, eliminating static allocation limitations and the dependency on IT for provisioning resources. By simplifying data scientists’ workflows, Run:AI accelerates their productivity and the quality of their science.