Moab HPC Suite - Enterprise Edition
Solutions to Enterprise High Performance Computing Challenges
While all HPC systems face challenges in workload demand, workflow constraints, resource complexity, and system scale, enterprise HPC systems face more stringent challenges and expectations. Enterprise HPC systems must meet mission-critical and priority HPC workload demands for commercial businesses, business-oriented research, and academic organizations. The Enterprise has requirements for dynamic scheduling, provisioning and management of multi-step/multi-application services across HPC, cloud, and big data environments. Their workloads directly impact revenue, product delivery, and organizational objectives.
Enterprise HPC systems must process intensive simulation and data analysis more rapidly, accurately and cost-effectively to accelerate insights. By improving workflow and eliminating job delays and failures, the business can more efficiently leverage data to make data-driven decisions and achieve a competitive advantage. The Enterprise is also seeking to improve resource utilization and manage efficiency across multiple heterogeneous systems. User productivity must increase to speed the time to discovery, making it easier to access and use HPC resources and expand to other resources as workloads demand.
Enterprise-Ready HPC Workload Management
Moab® HPC Suite – Enterprise Edition accelerates insights by unifying data center resources, optimizing the analysis process, and guaranteeing services to the business. Moab 8.1 for HPC systems and HPC cloud continually meets enterprise priorities through increased productivity, automated workload uptime, and consistent SLAs. It uses the battle-tested and patented Moab intelligence engine to automatically balance the complex, mission-critical workload priorities of enterprise HPC systems. Enterprise customers benefit from a single integrated product that brings together key Enterprise HPC capabilities, implementation services, and 24/7 support.
It is imperative to automate workload workflows to speed time to discovery.
|Categories||DevOps and Orchestration|
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