Maximize your compute with fractioning and pooling
Run:ai Dynamic MIG and GPU Fractioning features allow you to split or join GPU resources and share them between users and jobs automatically, so every bit of compute memory is utilized
GPUs are expensive and scarce; with Run:ai you can utilize every bit of GPU compute before incurring additional compute expenses
Book Your DemoRun:ai Dynamic MIG and GPU Fractioning features allow you to split or join GPU resources and share them between users and jobs automatically, so every bit of compute memory is utilized
Run:ai's Quota Management feature gives admins the option to set a maximum resource size, for each team－ so they have flexible access that doesn't interfere with other teams
Node Pools functionality allows to create different compute set for each team and workload, so you can utilize even the most heterogeneous cluster running T4s and H100s at the highest efficiency
Book your demo and see how Run:ai can help you accelerate AI development and reduce compute costs
Book a demo
