Nlyte DCIM
Nlyte Software helps teams manage their hybrid infrastructure throughout their entire organization– from desktops, networks, servers, to IoT devices – across facilities, data centers, colocation, edge, and the cloud. Using Nlyte’s monitoring, management, inventory, workflow, and analytics capabilities, organizations can automate how they manage their hybrid infrastructure to reduce costs, improve uptime, and ensure compliance with organizational policies. Monitor end to end telemetry points to predict and optimize power and thermal efficiencies. Reduce disruptions from maintenance cycles. Predict and avoid unplanned outages. Optimize application workload placement. Integrating Building Automation Controls with DCIM software to more efficiently control the Data Center’s Critical Infrastructure. Integrated Data Center Management.
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QCT QuantaGrid
QCT (Quanta Cloud Technology) QuantaGrid servers are a family of high-performance, scalable, and energy-efficient rackmount servers designed for use in data centers and cloud computing environments. These servers are engineered to deliver exceptional performance and flexibility for a wide range of workloads, including virtualization, high-performance computing (HPC), big data analytics, artificial intelligence, and machine learning (ML). QuantaGrid servers are known for their modular design, allowing for easy customization and configuration based on the specific needs of the deployment. Key features of the QuantaGrid series include support for the latest Intel or AMD processors, high memory capacity, various storage options including NVMe drives, and efficient thermal management for optimized performance and energy savings. With a focus on reliability, scalability, and ease of management, QCT QuantaGrid servers provide organizations with robust solutions for handling data workloads.
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SAS Grid Manager
SAS Grid Manager helps organizations outcompete by outcomputing, meeting peak computing demands reliably and cost-effectively through a flexible, centrally managed grid computing environment. It gives IT the flexibility to meet service level commitments by reassigning computing resources to peak workloads or changing business demands, with a central point of control to administer policies, programs, queues, and job prioritization across users and applications. In a grid computing environment with multiple servers, jobs can run on the best available resource, and if a server fails, jobs can transition seamlessly to another server. IT staff can perform maintenance on specific servers or introduce additional computing resources without interrupting analytics jobs or disrupting the business. SAS Grid Manager also supports diverse analytics ecosystems by managing jobs in SAS and other languages, helping analytics run quickly.
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HPCWorks
HPCWorks makes high-performance computing fast, efficient, and productive, on-premises and in the cloud. It helps teams expertly manage IT complexity, streamline administration, control costs, and enable the latest AI and mixed workloads with a complete HPC portfolio. Designed to power critical HPC, AI, and high-throughput workloads across applications such as healthcare, weather prediction, chip design, simulation, and analytics, HPCWorks helps organizations optimize computing environments from end to end. It supports GPU acceleration, rapid scaling, flexible scheduling, and workflow design for today’s largest AI workloads. Its agentic AI assistant can estimate job resource requirements, reduce wait times, and improve job throughput by learning from new data over time. HPCWorks also provides optimal job scheduling and workload management, helping teams reduce wait times, minimize downtime, prioritize critical tasks, and manage nodes, CPUs, cloud bursting, licenses, GPUs, etc.
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