Improve productivity, optimize utilization and simplify administration for clusters, clouds and supercomputers, from the largest high-performance computing (HPC) workloads to millions of small, high-throughput jobs. Securely manage the most demanding challenges and maintain efficiency across your organization’s HPC environment with dynamic policies, a powerful customization API and extensive hardware support.
Compute with confidence using software proven by decades of experience in a broad range of industries, backed by world-class support. Use powerful policy-driven scheduling to optimize resources and prioritize critical jobs.
Efficiently orchestrate mixed artificial intelligence (AI) and HPC workloads, from Kubernetes to GPUs. Optimize today’s increasingly complex, demanding hybrid workloads, including machine learning training and AI inference.
Customize the solution to meet your organization’s unique requirements and gain enhanced extensibility through a flexible plugin application programming interface (API). Use hook events for tailored job management and validation.
Accelerate job execution and select optimal job placement across diverse, broadly distributed resources using a modern, web-driven GraphQL interface. Create intelligent policies to manage distributed, mixed-vendor computing assets as a single, unified system, with a topology-aware architecture that supports GPU scheduling.
Manage budgets across your enterprise – on-premises, in the cloud and for multiple clusters – by allocating workload credits to your users in one or more customizable currencies. Gain visibility into HPC usage enterprise-wide with full credit-consumption reporting by groups and by individual users.
Know your data is secure with the only workload manager and job scheduler to achieve EAL3+ certification and the only workload manager integrated with Red Hat’s SELinux cross-domain multi-level security (MLS) technology.
