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HPCWorks Navops

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HPCWorks™ Navops™ software – part of the Siemens Xcelerator business platform of software, hardware and services – is a cloud management, automation and cost control solution that supports global operations with optimized, cost-efficient high-performance computing (HPC). HPCWorks Navops scales on-demand resources across a broad range of cloud providers and workload managers. It prioritizes critical workloads and controls compute spending via an intuitive interface that provides detailed visibility into usage and budgets. Leverage hybrid cloud: Strengthen cloud and hybrid cloud operations to align spending with business value. Manage costs and optimize HPC across diverse workload managers and cloud providers. Gain transparent visibility into real-time and historical usage. Centralize global operations: Use your preferred cloud platforms, including multi-cloud, and gain a unified view of all cloud operations and HPC spend. Achieve global visibility and control so only high-value workloads scale. Enable DevOps: Integrate cloud tools into your DevOps IaC environment to deliver services quickly and consistently. Streamline deployment with an intuitive interface that guides configuration and automates installation. Capabilities include: • Dynamic scaling across your preferred cloud – handle peak demand by bursting to public clouds including AWS, Azure, Google Cloud and Oracle Cloud Infrastructure or to private cloud with OpenStack • Easy configuration – configure environments quickly and consistently through an intuitive interface with clear operational visibility and easy-to-use debugging tools • Intelligent automation – filter workloads by budget and selectively scale them to the cloud instead of running on-premises • Rules-based scaling – capture business logic and application needs to create rules that automatically scale node deployments up or down • Full cost visibility – keep spending front and center with estimated cloud costs throughout the interface, including burn rate and accrued cost per period

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