Alternatives to HPCWorks Grid Engine
Compare HPCWorks Grid Engine alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to HPCWorks Grid Engine in 2026. Compare features, ratings, user reviews, pricing, and more from HPCWorks Grid Engine competitors and alternatives in order to make an informed decision for your business.
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Device42
Device42, A Freshworks Company
With customers across 70+ countries, organizations of all sizes rely on Device42 as the most trusted, advanced, and complete full-stack agentless discovery and dependency mapping platform for Hybrid IT. With access to information that perfectly mirrors the reality of what is on the network, IT teams are able to run their operations more efficiently, solve problems faster, migrate and modernize with ease, and achieve compliance with flying colors. Device42 continuously discovers, maps, and optimizes infrastructure and applications across data centers and cloud, while intelligently grouping workloads by application affinities and other resource formats that provide a clear view of what is connected to the environment at any given time. As part of the Freshworks family, we are committed to, and you should expect us to provide even better solutions and continued support for our global customers and partners, just as we always have.Starting Price: $1499.00/year -
2
Nlyte DCIM
Nlyte Software
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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HPCWorks
Siemens
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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SAS Grid Manager
SAS
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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QCT QuantaGrid
QCT
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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Deliver enterprise-class management for running compute and data-intensive distributed applications on a scalable, shared grid. IBM Spectrum Symphony® software delivers powerful enterprise-class management for running compute-intensive and data-intensive distributed applications on a scalable, shared grid. It accelerates dozens of parallel applications for faster results and better utilization of all available resources. With IBM Spectrum Symphony, you can improve IT performance, reduce infrastructure costs and expenses and quickly meet business demands. Get faster throughput and performance for compute-intensive and data-intensive analytics applications to accelerate time-to-results. Achieve higher levels of resource utilization by controlling and optimizing the massive compute power available in your technical computing systems. Reduce infrastructure, application development, deployment and management costs by gaining control of large-scale jobs.
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ManageEngine OpManager MSP
ManageEngine
OpManager MSP from ManageEngine is a comprehensive network monitoring and management tool tailored for service providers to monitor client network devices. It features an easy-to-use interface, streamlines management tasks, reduces workload, and helps optimize client network device performance. OpManager MSP offers network visualization capabilities for a consolidated view of multiple client networks. By automating basic troubleshooting, maintenance tasks, and analyzing network performance and trends, resources can be saved. The new NCM add-on in OpManager MSP allows managed service providers to efficiently manage network configurations, compliance, and identify firmware vulnerabilities for improved security. This tool simplifies the management of multi-client networks and various network components, eliminating the need for multiple tools.Starting Price: $795 -
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Open iT ComputeAnalyzer™
Open iT, Inc.
Open iT ComputeAnalyzer™ provides a centralized view of system and HPC resource usage to improve performance and capacity planning. It meters CPU, memory, and I/O usage across distributed GRID computing environments, supporting major job schedulers including IBM Spectrum LSF, PBS Professional, OpenPBS, Oracle Grid Engine, and Torque. ComputeAnalyzer tracks queue performance, job activity, wait times per user, and the root causes of failed or pending jobs, giving IT and engineering teams the visibility they need to eliminate bottlenecks and maximize cluster efficiency. It also enables accurate IT chargeback by breaking down resource consumption by user, project, department, or business unit. Usage data can be exported to preferred BI tools for further analysis, and the solution integrates natively with LicenseAnalyzer and StorageAnalyzer for a complete picture of software, storage, and compute asset utilization.Starting Price: Contact Vendor -
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Microsoft System Center
Microsoft
Stay in control of your IT—across your environment and platforms—with System Center. Simplify the deployment, configuration, management, and monitoring of your infrastructure and virtualized software-defined datacenter, while increasing agility and performance. Diagnose and troubleshoot infrastructure, workload, or application issues to maintain reliability and high performance. Deploy and manage your software-defined datacenter with a comprehensive solution for networking, storage, compute, and security. -
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VMware HCX
Broadcom
Seamlessly extend your on-premises environments into cloud. VMware HCX streamlines application migration, workload rebalancing and business continuity across data centers and clouds. Large-scale movement of workloads across any VMware platform. vSphere 5.0+ to any current vSphere version on cloud or modern data center. KVM and Hyper-V conversion to any current vSphere version. Support for VMware Cloud Foundation, VMware Cloud on AWS, Azure VMware Services and more. Choice of migration methodologies to meet your workload needs. Live large-scale HCX vMotion migration of 1000’s of VMs. Zero downtime migration to limit business disruption. Secure proxy for vMotion and replication traffic. Migration planning and visibility dashboard. Automated migration-aware routing with NSX for network connectivity. WAN optimized links for migration across Internet or WAN. High-throughput L2 extension. Advanced traffic engineering to optimize the application migration times. -
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Moab HPC Suite
Adaptive Computing
Moab® HPC Suite is a workload and resource orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. Its patented intelligence engine uses multi-dimensional policies and advanced future modeling to optimize workload start and run times on diverse resources. These policies balance high utilization and throughput goals with competing workload priorities and SLA requirements, thereby accomplishing more work in less time and in the right priority order. Moab HPC Suite optimizes the value and usability of HPC systems while reducing management cost and complexity. -
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IBM Turbonomic
IBM
Cut infrastructure spend by 33%, reduce data center refresh costs by 75%, and get back 30% of your engineering time with smarter resource management. Increasingly, complex applications run your business. And they can run your teams ragged trying to stay ahead of dynamic demand. When application performance drops, teams are often reacting at human speed, after the fact. To avoid disruption, you may overprovision resource allocations, making estimates that are often costly and don’t always pay off. The IBM® Turbonomic® Application Resource Management (ARM) platform allows you to eliminate this guesswork, saving both time and money. You can continuously automate critical actions in real time—and without human intervention—that proactively deliver the most efficient use of compute, storage and network resources to your apps at every layer of the stack. -
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QCT QuantaMicro
QCT
QuantaMicro, developed by Quanta Computer, is a complete microserver line that is designed with a focus on achieving high density, cost efficiency, energy efficiency, and low power consumption. Specifically engineered to address the increasing demands of hyper-scale workloads, QuantaMicro servers are optimally suited for deployment in modern data centers where they excel at handling a growing variety of large-scale computational tasks. With their dedication to efficient performance and resource optimization, QuantaMicro servers offer a compelling solution for organizations seeking to enhance their data center capabilities. -
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Siemens Grid Software
Siemens
Siemens Grid Software is designed to accelerate the energy transition of power grids by delivering mission‑critical capabilities that help grid operators decode and shape a future‑proof power landscape. It is part of the Siemens Xcelerator for Grids portfolio and supports digital transformation across power utilities. It encompasses solutions like Spectrum Power, a globally leading grid management system that alleviates the complexity of modern grid operations by offering resilience, reliability, modularity, scalability, openness, interoperability, and cybersecurity. For high‑voltage transmission, the software provides tools and insights to future‑proof supply security and market efficiency. It addresses key disruptive forces, decentralization, decarbonization, and digitalization, giving operators the perspective and guidance needed to manage evolving grid demands confidently and securely. -
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Cisco ACI
Cisco
Achieve resource elasticity with automation through common policies for data center operations. Extend consistent policy management across multiple on-premises and cloud instances for security, governance, and compliance. Get business continuity, disaster recovery, and highly secure networking with a zero-trust security model. Transform Day 2 operations to a more proactive model and automate troubleshooting, root-cause analysis, and remediation. Optimizes performance, and single-click access facilitates automation and centralized management. Extend on-premises ACI networks into remote locations, bare-metal clouds, and colocation providers without hardware. Cisco's Multi-Site Orchestrator offers provisioning and health monitoring, and manages Cisco ACI networking policies, and more. This solution provides automated network connectivity, consistent policy management, and simplified operations for multicloud environments. -
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IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.
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Building Maintenance System
BlueChalk Software
Building Maintenance System allows maintenance coordinators to manage all work orders, maintain equipment information, track labor, part and vendor costs, assign and prioritize projects, easily make repair/replace decisions, schedule recurring maintenance jobs, improve communication with administrators and faculty, efficiently handle an entire districts' maintenance workload. With the Building Maintenance and Work Order System, maintenance coordinators can see at a glance the current workload for the entire district from any web-connected device. Work orders can be filtered in a grid by building, job type, status, assignment or priority. The grid can be sorted by building, date entered, deadline, priority, job type, or status. All of these features help the building maintenance coordinator keep the district's workload under control. -
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AspenTech Grid Apps
AspenTech
AspenTech Grid Apps is an integrated solution suite for active management of distribution grids, crowd‑sourcing data for improved visibility of network conditions, DER (Distributed Energy Resource) connections, and outage response. It includes multiple applications: AspenTech Grid Reporter reports and displays real‑time status of network outages, faults, and damage while delivering notifications for time‑to‑restoration, crew locations, and emergency contacts; AspenTech DER Connect enables self‑service DER registration and streamlined connection requests, with automated electrical network and cost analysis via a centralized DER database; AspenTech Network Maps provides geographical views of network load demand and generation capacity; and AspenTech Resilience Portal offers real‑time information on resources, assistance, and assets during large‑scale outages. -
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Quanta Datacenter Manager (QDCM) is a comprehensive solution designed to enhance data center manageability, optimize energy usage, and improve system utilization. It enables data center managers to monitor real-time power consumption and temperature through an intuitive dashboard and manage individual server power consumption via customizable power policies. QDCM's energy optimization features analyze historical energy usage and cooling data, providing actionable recommendations such as consolidating workloads from underutilized servers and improving cooling efficiency to reduce energy costs. The platform also offers hierarchical data center management, displaying the status of all managed entities, including temperature, power consumption, space usage, and events, allowing users to access server inventory data and set power consumption limits. With its user-friendly interface and customizable dashboard, QDCM assists in power planning and highlights underutilized systems.
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CGI OpenGrid DERMS is a distributed energy resource management solution designed to help utilities intelligently and safely integrate, orchestrate, monitor, dispatch, optimize, and settle operations involving diverse DERs across the distribution grid. Built on an API‑based, cloud‑native OpenGrid Foundation platform, it enables registration, validation, and connection of independently owned DERs alongside utility‑owned assets, providing complete visibility and control over power, Volt‑Var, and voltage at the transformer and feeder level. It supports both static and dynamic aggregation of disparate DERs, allowing utilities to develop, optimize, and dispatch coordinated schedules based on operator priorities, fault proximity, connection agreements, or financial goals. Dispatching can be manual, scheduled, event‑triggered, or imported from external systems.
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NVIDIA Run:ai
NVIDIA
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI. -
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ROUTEMASTER OSP
ROUTEMASTER
ROUTEMASTER OSP is an advanced solution for managing outside plant fiber and FTTH networks. It allows efficient management of communication resources such as outdoor equipment, cables, optical components, and FTTH infrastructure. With integrated Geographic Information System (GIS) support, it provides detailed geographical visualization of network elements, optimizing network planning and management. The platform enables real-time monitoring of network equipment from multiple brands, with advanced alarming systems that notify users of issues instantly, ensuring optimal network performance. ROUTEMASTER OSP also includes powerful reporting and analytics capabilities, which help in strategic planning and decision-making. Furthermore, it offers seamless integration with third-party systems through REST API and RabbitMQ, ensuring smooth interoperability. The platform is highly scalable and suitable for monitoring and managing large-scale network infrastructures.Starting Price: $499 per year -
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Faddom
Faddom
Faddom offers real-time, agentless application dependency mapping to give IT teams instant, risk-free visibility into hybrid environments. No credentials, no software installs, and no firewall changes. Faddom maps servers, applications, cloud resources, and traffic flows within an hour of deployment. This always-live mapping supports security audits, change impact analysis, cloud migration, IT documentation, and incident response. Faddom provides continuous infrastructure clarity without disruption, enabling better planning, control, and compliance. Trusted by organizations across industries, Faddom is built for speed, security, and simplicity. Deploy fast. Discover more. Stay in control.Starting Price: $0 -
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Slurm
IBM
Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.Starting Price: Free -
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VMware vSphere
Broadcom
Get the power of the enterprise workload engine. Boost workload performance, improve security and speed up innovation for your business. vSphere delivers essential services for the modern hybrid cloud. The new vSphere has been rearchitected with native Kubernetes to run existing enterprise applications alongside modern containerized applications in a unified manner. Transform on-premises infrastructure with cloud integration. Boost productivity with central management, global insights and automation. Power up with add-on cloud services. Meet the throughput and latency needs of distributed workloads by accelerating networking functions on the DPU. Free up GPU resources for faster AI/ML model training and higher complexity models. -
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AMI® Data Center Manager (DCM) is an advanced solution designed to enhance the operational efficiency, reliability, and sustainability of enterprise data centers. By leveraging real-time data collection, predictive analytics, and advanced reporting, DCM allows organizations to make data-driven decisions that optimize energy usage, reduce waste, and improve resource planning. The platform helps manage power, thermal conditions, and system health, providing actionable insights to streamline data center operations, forecast future needs, and monitor the carbon footprint of infrastructure.
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VMware Tanzu Kubernetes Grid
Broadcom
Power your modern applications with VMware Tanzu Kubernetes Grid. Run the same K8s across data center, public cloud and edge for a consistent, secure experience for all development teams. Keep your workloads properly isolated and secure. Get a complete, easy-to-upgrade Kubernetes runtime with preintegrated and validated components. Deploy and scale all clusters without downtime. Apply security fixes fast. Run your containerized applications on a certified Kubernetes distribution, bolstered by the global Kubernetes community. Use your existing data center tools and workflows to give developers secure, self-serve access to conformant Kubernetes clusters in your VMware private cloud, and extend the same consistent Kubernetes runtime across your public cloud and edge environments. Simplify operations of large-scale, multicluster Kubernetes environments, and keep your workloads properly isolated. Automate lifecycle management to reduce your risk and shift your focus to more strategic work. -
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Camus
Camus
Our grid orchestration platform provides system-wide visibility and advanced control for the distributed energy future. Through our next-generation software platform, we strive to empower utilities and energy providers to address the challenges of today while laying the foundation for tomorrow. We equip grid operators to orchestrate an increasingly complex grid. Serve the evolving goals of members by cutting costs and safely integrating distributed energy resources through real-time visibility and control. Lower operating costs, identify high-value investments and transition to a low-carbon grid using a platform that actively engagements distributed energy resources. Foster a new era of member-G&T collaboration by coordinating the dispatch of distributed resources to serve both local and system-wide needs. Our software utilizes proven artificial intelligence and machine learning techniques to seamlessly integrate data from disparate sources to create always-on grid visibility. -
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Google Virtual Private Cloud (VPC)
Google Cloud
A single VPC can span multiple regions without communicating across the public internet. For on-premises, you can share a connection between VPC and on-premises resources with all regions in a single VPC. With a single VPC for an entire organization, teams can be isolated within projects, with separate billing and quotas, yet still maintain a shared private IP space and access to commonly used services. Google Cloud VPCs let you increase the IP space of any subnets without any workload shutdown or downtime. This gives you flexibility and growth options to meet your needs. VPC can automatically set up your virtual topology, configuring prefix ranges for your subnets and network policies, or you can configure your own. You can also expand CIDR ranges without downtime.Starting Price: $0.20 per GB -
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Azure FXT Edge Filer
Microsoft
Create cloud-integrated hybrid storage that works with your existing network-attached storage (NAS) and Azure Blob Storage. This on-premises caching appliance optimizes access to data in your datacenter, in Azure, or across a wide-area network (WAN). A combination of software and hardware, Microsoft Azure FXT Edge Filer delivers high throughput and low latency for hybrid storage infrastructure supporting high-performance computing (HPC) workloads.Scale-out clustering provides non-disruptive NAS performance scaling. Join up to 24 FXT nodes per cluster to scale to millions of IOPS and hundreds of GB/s. When you need performance and scale in file-based workloads, Azure FXT Edge Filer keeps your data on the fastest path to processing resources. Managing data storage is easy with Azure FXT Edge Filer. Shift aging data to Azure Blob Storage to keep it easily accessible with minimal latency. Balance on-premises and cloud storage. -
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ManageEngine OpManager Nexus
ManageEngine
ManageEngine OpManager Nexus is a full-stack observability and IT operations management platform designed to help organizations monitor, automate, and optimize complex IT environments. The platform provides centralized visibility across applications, networks, infrastructure, cloud systems, and distributed environments while using AI and machine learning to deliver actionable operational insights. OpManager Nexus includes capabilities such as application performance monitoring, bandwidth analysis, configuration management, vulnerability remediation, IP management, and infrastructure monitoring to help reduce downtime and improve IT efficiency. The platform supports NetOps, DevOps, SRE, and IT operations teams by enabling real-time monitoring, event correlation, root cause analysis, and automated remediation workflows across enterprise systems. OpManager Nexus also integrates with major cloud, DevOps, and observability platforms.Starting Price: $1233 -
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Fluidstack
Fluidstack
Fluidstack is an AI infrastructure platform designed to provide high-performance compute resources for advanced workloads. It offers dedicated GPU clusters that are fully isolated and optimized for large-scale AI training and inference. The platform includes Atlas OS, a bare-metal operating system built to enable fast provisioning and efficient orchestration of AI infrastructure. Fluidstack also provides Lighthouse, a monitoring and optimization tool that ensures reliability and performance across workloads. Its infrastructure is designed for speed, scalability, and secure operations, with single-tenant environments by default. The platform supports enterprises, AI labs, and governments that require high-performance computing capabilities. Fluidstack emphasizes rapid deployment, enabling teams to access GPU resources quickly when needed. Overall, it delivers a powerful and secure solution for running AI workloads at scale. -
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Teradata QueryGrid
Teradata
Deploying multiple analytic engines means best-fit engineering, so QueryGrid lets users leverage the right tool for the job. SQL is the language of business, and QueryGrid delivers unparalleled SQL access across commercial and open source analytical engines. Built for a hybrid multi-cloud reality, Vantage solves the world’s most complex data challenges at scale. Software that delivers autonomy, visibility, and insights to keep pace with changing customer demand. -
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Hyperview
Hyperview
Hyperview’s cloud-based data center infrastructure management (DCIM) application is designed from the ground up to be easy to adopt and easy to use. The application empowers operations teams to optimize capacity of their data center infrastructure, along with lowering costs and avoiding unplanned outages. The application stands in sharp contrast to traditional DCIM software that is unnecessarily bloated, expensive, resource intensive, and complicated. Hyperview allows users to automatically discover (agentless) their network-connected IT assets to gain an accurate and up-to-date inventory of all their devices. All related data is captured and can then be monitored for changes. The application is used further to manage and monitor capacity, rack and floor space, asset lifecycles, asset health, power, energy, and temperature. Core features include Asset Management, Power Monitoring, Energy Management, Environmental Monitoring, and Capacity Planning, and 3D Visualization.Starting Price: $2/asset/year -
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Acelerex
Acelerex
Acelerex Grid Enterprise Solutions facilitates the design of grid infrastructure and real‑time grid operations through modular offerings. The grid automation suite encompasses EMS, SCADA, DAS, PPC, and MDE functionalities to control and optimize power flow and distribution. Grid analytics supports capacity expansion, production‑cost modeling, asset revenue modeling, and valuations to guide investment decisions. Data services deliver scalable big‑data frameworks and algorithmic insights for operational efficiency. Grid strategy aids integrated resource planning, clean‑energy policy compliance, technology procurement, and power‑purchase agreement (PPA) structuring. Appliances leverage top‑of‑the‑line hardware to ensure high availability, resiliency, and client‑grade performance. We pair emerging technologies in these key sectors with software innovations such as AI, IoT devices, blockchain, big data, data mining, cloud computing, and real time optimization algorithms. -
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Amazon SageMaker HyperPod
Amazon
Amazon SageMaker HyperPod is a purpose-built, resilient compute infrastructure that simplifies and accelerates the development of large AI and machine-learning models by handling distributed training, fine-tuning, and inference across clusters with hundreds or thousands of accelerators, including GPUs and AWS Trainium chips. It removes the heavy lifting involved in building and managing ML infrastructure by providing persistent clusters that automatically detect and repair hardware failures, automatically resume workloads, and optimize checkpointing to minimize interruption risk, enabling months-long training jobs without disruption. HyperPod offers centralized resource governance; administrators can set priorities, quotas, and task-preemption rules so compute resources are allocated efficiently among tasks and teams, maximizing utilization and reducing idle time. It also supports “recipes” and pre-configured settings to quickly fine-tune or customize foundation models. -
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Federator.ai
ProphetStor Data Services
Federator.ai®, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence to orchestrate container resources on top of VMs (virtual machines) or bare metal, allowing users to operate applications without the need to manage the underlying computing resources. Container adoption is growing, and Kubernetes is becoming the de facto standard of container management platforms. Whether container adoption occurs on-premises, in public clouds, or both, the operational overhead is enormous. Using AI/Machine Learning technology, Federator.ai® makes workload and resource predictions for containerized applications. It assists IT administrators foresee computing resource demands of applications and manage computing resources while optimizing costs without sacrificing performance. -
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Lenovo dense systems deliver massive computing power in minimal space to tackle workloads like High-Performance Computing (HPC), Artificial Intelligence (AI), cloud, grid, and analytics. In our modern age, your servers should have a modern design. With our high-density servers, even the most technical simulations can be performed with gusto. These dense systems pack a punch for all your artificial intelligence, cloud, grid, and analytics needs. Designed to be scalable, our unique water-cooled systems maximize density while putting security first. Liquid cooling innovation and leading energy efficiency packed into one smart ThinkSystem. All the processing power and reliable results you need in one cool package. By utilizing superior heat removal methods compared to air, the critical components all operate at lower temperatures, delivering greater performance in a quiet, energy-efficient system.
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AWS HPC
Amazon
AWS High Performance Computing (HPC) services empower users to execute large-scale simulations and deep learning workloads in the cloud, providing virtually unlimited compute capacity, high-performance file systems, and high-throughput networking. This suite of services accelerates innovation by offering a broad range of cloud-based tools, including machine learning and analytics, enabling rapid design and testing of new products. Operational efficiency is maximized through on-demand access to compute resources, allowing users to focus on complex problem-solving without the constraints of traditional infrastructure. AWS HPC solutions include Elastic Fabric Adapter (EFA) for low-latency, high-bandwidth networking, AWS Batch for scaling computing jobs, AWS ParallelCluster for simplified cluster deployment, and Amazon FSx for high-performance file systems. These services collectively provide a flexible and scalable environment tailored to diverse HPC workloads. -
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Azure CycleCloud
Microsoft
Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.Starting Price: $0.01 per hour -
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Hitachi Ops Center Automator
Hitachi
Hitachi Ops Center Automator is a data center automation solution designed to accelerate IT operations and streamline resource provisioning. It offers intelligent provisioning by automatically selecting resources based on historical performance trends, ensuring efficient and cost-effective storage allocation. The platform features role-based access control for secure management, a customizable service builder for tailored workflows, an extensive library of predefined templates for common tasks, and REST API integration for seamless incorporation into existing management software. By leveraging artificial intelligence, Ops Center Automator enhances operational efficiency, reduces manual intervention, and allows IT personnel to focus on strategic initiatives. Includes a broad range of predefined templates that support best practices for configuring resources. -
42
UnityOneCloud
UnitedLayer
UnityOneCloud is a SaaS multicloud management platform designed for managing hybrid cloud environments, including data center cabinets, power distribution units (PDUs), bare-metal servers, networking devices, containers, mesh services, and serverless environments across private clouds (VMware, Hyper-V, OpenStack) and public clouds (AWS, GCP, and Azure). The platform provides integrated capabilities for monitoring, visualization, management, auditing, and DevOps automation, ensuring a seamless experience for managing hybrid cloud infrastructures. UnityOneCloud is unique in its ability to manage both data centers and cloud environments, which is critical for enterprises undergoing cloud-first initiatives or modernizing their IT infrastructures. It offers observability of multi-cloud mesh services through integrations with Istio, AWS App Mesh, and Google Anthos, enabling unified management of complex hybrid IT environments. -
43
Simcenter X
Siemens
Simcenter X is a cloud-powered multi-domain simulation suite from Siemens designed to help engineering teams accelerate innovation with flexible SaaS access. It brings together trusted Simcenter simulation applications with cloud deployment, high-performance computing, and scalable licensing. The platform supports CFD, mechanical, systems simulation, and MDAO tools so teams can work across multiple disciplines in one environment. Simcenter X helps reduce engineering silos by improving collaboration, data management, and cross-domain simulation workflows. Its centralized cloud-managed entitlements, universal tokens, and one-click HPC access make it easier to manage users, resources, and peak simulation workloads. With Simcenter X Advanced, organizations can simplify licensing, expand simulation capacity, and empower engineers to run complex studies more efficiently. -
44
AutoGrid
AutoGrid
AutoGrid’s integrated suite of flexibility management applications enables utilities and energy service providers to build next-generation renewable-friendly energy networks by managing and optimizing distributed energy resources at scale and in real time while engaging customers, enhancing reliability and generating new value streams. In a world where supply and demand are unpredictable and potentially out of your control, the key to balance is harnessing data to flex with the ebb and flow of energy. With three applications built expressly for the top flexibility use cases, AutoGrid Flex™ mines the Energy Internet’s rich data lode to extract the highest value from all distributed energy resources. The seamless front end customer experience for the most powerful energy data platform. AutoGrid Engage™ offers a fully customizable look and feel with seamless integration into other corporate web platforms, and gives you the ability to fully integrate DERs. -
45
Cloud migration creates a lot of questions. Migrate for Compute Engine by Google Cloud has the answers. Whether you’re looking to migrate one application from on-premises or one thousand enterprise-grade applications across multiple data centers, Migrate for Compute Engine gives any IT team, large or small, the power to migrate their workloads to Google Cloud. With Migrate for Compute Engine’s simple “as a service” interface within Cloud Console and flexible migration options, it’s easy for anyone to reduce the time and toil that typically goes into a migration. Avoid complex deployments, setup, and configurations. Eliminate confusing and troublesome client-side migration tool agents. By using the right migration tool, you can save your migration team’s valuable time for what matters most: migrating workloads.
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46
GridGain
GridGain Systems
The enterprise-grade platform built on Apache Ignite that provides in-memory speed and massive scalability for data-intensive applications and real-time data access across datastores and applications. Upgrade from Ignite to GridGain with no code changes and deploy your clusters securely at global scale with zero downtime. Perform rolling upgrades of your production clusters with no impact on application availability. Replicate across globally distributed data centers to load balance workloads and prevent downtime from regional outages. Secure your data at rest and in motion, and ensure compliance with security and privacy standards. Easily integrate with your organization's authentication and authorization system. Enable full data and user activity auditing. Create automated schedules for full and incremental backups. Restore your cluster to the last stable state with snapshots and point-in-time recovery. -
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Rapidminer SLC
Siemens
Rapidminer SLC is a Siemens analytics modernization solution that lets organizations use SAS language alongside open-source tools without being tied to one platform or architecture. It helps businesses preserve existing SAS language assets while adding support for Python, R, SQL, and modern analytics workflows. The platform is designed to reduce migration risk, support business continuity, and help teams transition analytics infrastructure with more confidence. Rapidminer SLC allows users to create, execute, and operationalize analytics across on-premises, cloud, and hybrid environments. It supports access to many data sources, including cloud services, Hadoop, data warehouses, databases, Excel, CSV, SPSS, SAS language data, and other file formats. With Rapidminer Analytics Workbench and SLC Hub, organizations can improve governance, scheduling, security, deployment, and workload management across the full analytics lifecycle. -
48
OpenText Data Center Automation
OpenText
Automate your service governance processes from end to end with infrastructure patching, continuous compliance management, advanced orchestration, and enterprise-scale provisioning. Run compliance audits across server OS. Visualize the results in a single compliance dashboard and then remediate according to maintenance windows and SLOs. Scan against the latest threats. Prioritize and track top vulnerabilities in a central risk dashboard. Patch according to policies, service level objectives, and maintenance windows. Standardize at build time and then scale. Use policy-aware provisioning and configurations for automated initial enforcement of compliance and patching policies. Get the broadest range of support for multivendor infrastructure. Extend integration to resources deployed by open source configuration tools to centralize compliance and risk management. -
49
Cologix
Cologix
Our data center solutions offer the customer-centric infrastructure, systems, monitoring, and reach you need. Our North American colocation ecosystem includes 40+ data centers across 11 markets. We provide the choice and flexibility to meet the most challenging enterprise, technical, business, and commercial objectives. We keep an eye on the future and adapt to changes in the market so you don’t have to. Cologix provides the support that is essential to your infrastructure needs today and tomorrow. Our engineers and technicians provide expert installation, diagnostics, troubleshooting, and any other hands-on services upon request. Industry-leading data center infrastructure management enabled by unprecedented visibility into all data center operations as well as real-time, historical, and predictive data. FLEXOfficeRecovery provides furnished and connected disaster recovery seating for displaced teams, enabling your business to seamlessly continue operations. -
50
Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.
