Make scarce GPU resources accessible and fully utilized for all AI teams across your organization.
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Run:ai Atlas helps Centralize AI infrastructures and bring teams together into one platform that allocates, efficiently-distributes, and simplifies Deep Learning teams’ access to AI compute resources.
Run:ai Atlas offers dashboards and analytics giving IT insight across all resources and workloads. Align resource allocation to business goals by setting policies and priorities across departments, projects and users.
Run:ai’s Smart Scheduler dynamically allocates AI resources such as GPUs. Built as a simple Kubernetes plug-in Run:ai Atlas is designed to work with containers and cloud-native architectures.
Run:ai’s Atlas removes the complexity of the underlying infrastructure and democratizes the access to AI compute resources. Now AI practitioners can focus more on research work and iterate faster.
Run:ai Atlas workflows are optimized to support the full AI development lifecycle, by allowing AI teams to use the AI stack of their choice,including any party MLOps tools.
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