Alternatives to Altair Grid Engine

Device42 is a robust and comprehensive data center and network management software designed by IT engineers to help them discover, document and manage Data Centers and overall IT. Device42 provides actionable insight into enterprise infrastructures. It clearly identifies hardware, software, services, and network interdependencies. It also features powerful visualizations and an easy-to-use user interface, webhooks and APIs. Device42 can help you plan for network changes and reduce MTTR in case of an unexpected outage. It provides everything you need for maintenance, audits and warranty, license certificate, warranty and lifecycle management, passwords/secrets and inventory, asset tracking and budgeting, building rooms and rack layouts... Device42 can integrate with your favorite IT management tools. This includes integration with SIEM, CM and ITSM; data mapping; and many more! 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.

Nlyte Software assists teams in managing their hybrid infrastructure across their entire organization - from desktops and networks, servers to IoT devices, across facilities, data centers and colocation, the edge, and even the cloud. Organizations can automate the management of their hybrid infrastructure using Nlyte's inventory, workflow, monitoring, management, and analytics capabilities. This will reduce costs, increase uptime, and ensure compliance to organizational policies.

SKUDONET provides IT leaders with a cost effective platform that focuses on simplicity and flexibility. It ensures high performance of IT services and security. Effortlessly enhance the security and continuity of your applications with an open-source ADC that enables you to reduce costs and achieve maximum flexibility in your IT infrastructure.

Develop a hybrid storage solution that seamlessly integrates with your current network-attached storage (NAS) and Azure Blob Storage. This on-premises caching appliance enhances data accessibility whether it resides in your datacenter, within Azure, or traversing a wide-area network (WAN). Comprising both software and hardware, the Microsoft Azure FXT Edge Filer offers exceptional throughput and minimal latency, designed specifically for hybrid storage environments that cater to high-performance computing (HPC) applications. Utilizing a scale-out clustering approach, it enables non-disruptive performance scaling of NAS capabilities. You can connect up to 24 FXT nodes in each cluster, allowing for an impressive expansion to millions of IOPS and several hundred GB/s speeds. When performance and scalability are critical for file-based tasks, Azure FXT Edge Filer ensures that your data remains on the quickest route to processing units. Additionally, managing your data storage becomes straightforward with Azure FXT Edge Filer, enabling you to transfer legacy data to Azure Blob Storage for easy access with minimal latency. This solution allows for a balanced approach between on-premises and cloud storage, ensuring optimal efficiency in data management while adapting to evolving business needs. Furthermore, this hybrid model supports organizations in maximizing their existing infrastructure investments while leveraging the benefits of cloud technology.

Azure Monitor enhances the reliability and efficiency of your applications and services by providing a holistic approach to gathering, analyzing, and responding to telemetry from both cloud and on-premises settings. This tool enables you to gain insights into the performance of your applications while also proactively detecting problems that may impact them and their associated resources. By leveraging Azure Monitor, organizations can ensure better service continuity and improve user satisfaction through timely interventions.

NVIDIA Run:ai is a cutting-edge platform that streamlines AI workload orchestration and GPU resource management to accelerate AI development and deployment at scale. It dynamically pools GPU resources across hybrid clouds, private data centers, and public clouds to optimize compute efficiency and workload capacity. The solution offers unified AI infrastructure management with centralized control and policy-driven governance, enabling enterprises to maximize GPU utilization while reducing operational costs. Designed with an API-first architecture, Run:ai integrates seamlessly with popular AI frameworks and tools, providing flexible deployment options from on-premises to multi-cloud environments. Its open-source KAI Scheduler offers developers simple and flexible Kubernetes scheduling capabilities. Customers benefit from accelerated AI training and inference with reduced bottlenecks, leading to faster innovation cycles. Run:ai is trusted by organizations seeking to scale AI initiatives efficiently while maintaining full visibility and control. This platform empowers teams to transform resource management into a strategic advantage with zero manual effort.

Achieve flexible resource management through the implementation of automation guided by standardized policies for data center operations. By ensuring consistent policy administration across various on-premises and cloud environments, you can enhance security, governance, and compliance. This approach guarantees business continuity, effective disaster recovery, and secure networking under a zero-trust security framework. Moreover, it transforms Day 2 operations into a proactive model that automates troubleshooting, root-cause analysis, and remediation tasks. This not only optimizes performance but also allows for single-click access to facilitate automation and centralized control. Extend your on-premises ACI networks seamlessly to remote sites, bare-metal clouds, and colocation facilities without the need for additional hardware. Cisco's Multi-Site Orchestrator plays a crucial role by offering provisioning, health monitoring, and management of Cisco ACI networking policies, among other functionalities. This comprehensive solution streamlines network connectivity, maintains uniform policy management, and simplifies operations across various multicloud settings, ultimately enhancing operational efficiency and scalability for enterprises.

BMC AMI Storage Performance comprises a collection of tools tailored to improve the speed and efficiency of Virtual Storage Access Method (VSAM) applications utilized in IBM CICS as well as batch processing. These tools aim to enhance data storage utilization, cut down on VSAM execution times, and minimize CPU usage, which collectively boosts overall system efficiency. Achieving optimal performance requires continuous effort to maintain a responsive, effective, and error-free environment. By implementing BMC AMI Storage Performance solutions, organizations can unlock the full potential of their VSAM applications. This optimization not only enhances performance, responsiveness, and scalability of current systems and investments but also leads to significant gains in responsiveness while concurrently decreasing I/O, storage, and CPU consumption. Furthermore, these solutions provide critical insights necessary for enhancing the performance and utilization of existing systems and resources, all while alleviating administrative burdens. Ultimately, the integration of these tools fosters a more streamlined and high-performing operational environment.

HPE Serviceguard for Linux (SGLX) is a clustering solution focused on high availability (HA) and disaster recovery (DR) that aims to ensure maximum uptime for essential Linux workloads, whether they are deployed on-premises, in virtualized setups, or across hybrid and public cloud environments. It consistently tracks the performance of applications, services, databases, servers, networks, storage, and processes; when it identifies issues, it rapidly initiates automated failover, typically within four seconds, all while maintaining data integrity. SGLX accommodates both shared-storage and shared-nothing architectures through its Flex Storage add-on, which allows for the provision of highly available services like SAP HANA and NFS in situations where SAN is not an option. The E5 edition, which is solely focused on HA, offers zero-RPO application failover alongside comprehensive monitoring and a user-friendly workload-centric graphical interface. In contrast, the E7 edition that combines HA and DR features introduces capabilities such as multi-target replication, automated recovery with a simple button press, rehearsals for disaster recovery, and the flexibility for workload mobility between on-premises systems and the cloud, thereby enhancing operational resilience. This versatility makes SGLX a valuable asset for businesses aiming to maintain continuous service availability in the face of potential disruptions.

Over the last two decades, numerous organizations have created SAS language programs that are essential for their functioning. Altair SLC efficiently executes programs that are written in SAS language syntax directly, eliminating the need for translation or the licensing of external products. This results in significant reductions in both capital costs and operating expenses for users, owing to its exceptional capacity to manage extensive data processing demands. Furthermore, Altair SLC comes equipped with a native SAS language compiler that not only processes SAS language and SQL code but also incorporates Python and R compilers, enabling seamless execution of Python and R code while facilitating the exchange of SAS language datasets, Pandas, and R data frames. The platform is versatile, operating on IBM mainframes, cloud environments, and a variety of servers and workstations across different operating systems. Additionally, it offers features for remote job submission and robust data exchange capabilities among mainframe, cloud, and on-premises systems, ensuring seamless integration across diverse computing environments.

Faddom provides real-time application dependency mapping without requiring credentials, agents, or system access. It delivers full visibility into hybrid IT environments, showing how servers, applications, and network flows interact. With zero disruption, Faddom helps IT teams plan migrations, document infrastructure, improve incident response, and strengthen cybersecurity. Maps are created within an hour and continuously updated, giving teams confidence and control. Whether for audits, change planning, or modernization efforts, Faddom offers fast, secure insights that reduce risk and improve decision-making.

Nutanix Prism serves as a unified control plane and multi-cloud management interface that greatly simplifies the administration of various environments operating on the Nutanix Cloud Platform. It provides a cohesive and user-friendly interface that enables the discovery and management of Nutanix applications across on-premises, edge, and cloud settings. With its extensive insights into compute, storage, and network resources, Prism facilitates effective infrastructure management. Among its features are machine learning-driven alerts, root cause analysis, and intelligent resource scheduling, all designed to enhance performance and swiftly tackle potential problems. Furthermore, the self-service functionalities of Prism empower users to provision resources in a secure and efficient manner, thus promoting scalability while ensuring robust security measures are in place. By incorporating these diverse capabilities, Nutanix Prism not only boosts operational efficiency but also alleviates the challenges often associated with managing hybrid multi-cloud environments. This comprehensive tool ultimately transforms the way organizations handle their cloud operations.

Zipher is an innovative optimization platform that autonomously enhances the performance and cost-effectiveness of workloads on Databricks by removing the need for manual tuning and resource management, all while making real-time adjustments to clusters. Utilizing advanced proprietary machine learning algorithms, Zipher features a unique Spark-aware scaler that actively learns from and profiles workloads to determine the best resource allocations, optimize configurations for each job execution, and fine-tune various settings such as hardware, Spark configurations, and availability zones, thereby maximizing operational efficiency and minimizing waste. The platform continuously tracks changing workloads to modify configurations, refine scheduling, and distribute shared compute resources effectively to adhere to service level agreements (SLAs), while also offering comprehensive cost insights that dissect expenses related to Databricks and cloud services, enabling teams to pinpoint significant cost influencers. Furthermore, Zipher ensures smooth integration with major cloud providers like AWS, Azure, and Google Cloud, and is compatible with popular orchestration and infrastructure-as-code (IaC) tools, making it a versatile solution for various cloud environments. Its ability to adaptively respond to workload changes sets Zipher apart as a crucial tool for organizations striving to optimize their cloud operations.

Karpenter streamlines Kubernetes infrastructure by ensuring that the optimal nodes are provisioned precisely when needed. As an open-source and high-performance autoscaler for Kubernetes clusters, Karpenter automates the deployment of necessary compute resources to support applications efficiently. It is crafted to maximize the advantages of cloud computing, facilitating rapid and seamless compute provisioning within Kubernetes environments. By promptly adjusting to fluctuations in application demand, scheduling, and resource needs, Karpenter boosts application availability by adeptly allocating new workloads across a diverse range of computing resources. Additionally, it identifies and eliminates underutilized nodes, swaps out expensive nodes for cost-effective options, and consolidates workloads on more efficient resources, ultimately leading to significant reductions in cluster compute expenses. This innovative approach not only enhances resource management but also contributes to overall operational efficiency within cloud environments.

Harness the capabilities of the enterprise workload engine to enhance performance, bolster security, and accelerate innovation within your organization. The latest version of vSphere provides crucial services tailored for the contemporary hybrid cloud environment. It has been redesigned to incorporate native Kubernetes, allowing the seamless operation of traditional enterprise applications alongside cutting-edge containerized solutions. This evolution facilitates the modernization of on-premises infrastructure through effective cloud integration. By implementing centralized management, gaining global insights, and utilizing automation, you can significantly increase productivity. Additionally, leverage supplementary cloud services to maximize your operations. To meet the demands of distributed workloads, networking functions on the DPU are optimized, ensuring improved throughput and reduced latency. Furthermore, this approach liberates GPU resources, which can then be applied to expedite AI and machine learning model training, even for more complex models. Overall, this unified platform not only streamlines processes but also supports your organization’s growth in the evolving digital landscape.

Reduce your infrastructure expenses by a third, cut data center upgrades by 75%, and reclaim 30% of your engineering time through enhanced resource management strategies. As applications become increasingly intricate, they can overwhelm your teams as they struggle to meet ever-changing demands. Often, when application performance falters, teams find themselves responding too late, addressing issues at a human pace. To prevent service interruptions, businesses may resort to overprovisioning resources, which can lead to expensive miscalculations that fail to yield the desired results. The IBM® Turbonomic® Application Resource Management (ARM) platform helps eliminate this uncertainty, leading to significant savings in both time and finances. By automating essential actions in real-time without the need for human oversight, it ensures the optimal utilization of compute, storage, and network resources for your applications across all layers of the technology stack. Ultimately, this proactive approach allows teams to focus on innovation rather than maintenance.

Selecting the appropriate GPUs and deployment strategies can be quite intricate. Whether you are leaning towards on-site installations or utilizing cloud services, Arc Compute offers specialized insights to optimize your infrastructure planning while enhancing performance. At Arc Compute, our process begins with a thorough assessment of your unique AI or HPC goals. Following this, our experts design tailored GPU infrastructure solutions, accommodating everything from temporary rentals for peak usage to permanent clusters for continuous training demands. We conduct comprehensive consultations to determine the most effective GPU configurations and deployment models, which may include cloud, on-premises, or hybrid options. Our services include prompt sourcing and delivery of NVIDIA GPU servers, along with the management of all vendor relationships. We also provide seamless installation and continuous support to maintain the optimal functioning of your GPU infrastructure. With our collaborative and consultative approach, we ensure that you achieve the ideal combination of performance, cost-effectiveness, and scalability. This commitment to understanding each client's unique needs sets us apart in the industry.

OpManager MSP is a comprehensive monitoring and management tool from ManageEngine that allows service providers to monitor network devices for their clients. It has an easy-to use interface that streamlines management tasks and reduces workload. It also helps optimize the performance of client network devices. OpManager MSP provides network visualization capabilities to provide a consolidated view across multiple client networks. Resources can be saved by automating basic maintenance tasks and troubleshooting and by analyzing network performance. The new NCM Add-on in OpManager MSP enables managed service providers (MSPs) to efficiently manage network configurations and compliance, as well as identify firmware vulnerabilities, for improved security. This tool simplifies management of multi-client network and various components, eliminating the requirement for multiple tools.

UnityOneCloud is a comprehensive SaaS platform for multicloud management that specializes in overseeing hybrid cloud setups, encompassing data center cabinets, power distribution units (PDUs), bare-metal servers, networking equipment, containers, mesh services, and serverless architectures across both private clouds like VMware, Hyper-V, and OpenStack, as well as public clouds such as AWS, GCP, and Azure. This platform offers a range of integrated features for monitoring, visualization, management, auditing, and automating DevOps processes, thereby delivering a smooth user experience while handling hybrid cloud infrastructures. What sets UnityOneCloud apart is its capability to seamlessly manage both traditional data centers and cloud environments, a critical aspect for businesses transitioning to cloud-first strategies or modernizing their IT frameworks. Additionally, it provides observability of multi-cloud mesh services through its integrations with technologies such as Istio, AWS App Mesh, and Google Anthos, facilitating cohesive management of intricate hybrid IT setups. The platform also ensures security compliance and operational efficiency, making it an essential tool for organizations aiming to optimize their multicloud environments.

Exostellar is an intelligent AI infrastructure orchestration platform designed to manage complex, heterogeneous CPU and GPU environments at scale. It automates the thinking behind infrastructure operations by dynamically scaling resources, tuning workloads, and optimizing performance. Built as a single adaptive layer, Exostellar brings orchestration, optimization, and scalability together for hybrid and multi-cloud deployments. The platform enables advanced GPU and CPU management, including just-in-time provisioning and AI-assisted scheduling. Autonomous right-sizing ensures workloads always use the most efficient compute configuration. Exostellar supports vendor-agnostic environments, eliminating lock-in and increasing flexibility. Enterprise teams benefit from features like GPU virtualization, cluster orchestration, and live CPU migration without downtime. The platform dramatically improves utilization, allowing teams to run more workloads with the same infrastructure. Proven results include major gains in GPU efficiency, compute availability, and cloud cost savings. Exostellar empowers teams to focus on innovation instead of infrastructure management.

Reduce unexpected downtime and lessen the risk of data loss resulting from corruption or system failures. The SLE HA extension features geo clustering capabilities to oversee clustered servers, whether they are located on-premises or in cloud environments globally. Our policy-driven, robust extension for Linux clusters ensures that your business remains operational while significantly reducing unplanned downtime across various locations and regions. With flexible, policy-driven clustering and continuous data replication, you can enhance adaptability while improving service availability and resource efficiency by integrating both physical and virtual Linux server clusters. A powerful unified interface allows you to install, configure, manage, and monitor your clustered Linux environments seamlessly. Additionally, multi-tenancy functionality enables you to organize geo clusters in alignment with specific business requirements, ensuring tailored management and optimal performance. This comprehensive approach offers a strategic advantage in maintaining system resilience and operational excellence.

ProphetStor's Artificial Intelligence for IT Operations (AIOps), Federator.ai® provides intelligence to orchestrate container resource on top of VMs or bare metal. This allows users to run applications without having to manage the underlying computing resources. Kubernetes has become the standard for container management platforms. Container adoption is increasing. The operational overhead for container adoption is huge, regardless of whether it takes place on-premises or in public clouds. Federator.ai®, which uses AI/Machine Learning technology to predict workload and resource requirements for containerized applications, makes these predictions. It helps IT administrators predict the computing resource requirements of applications and manage computing resources without sacrificing performance.

OpManager Plus, a comprehensive IT Infrastructure Management tool, provides IT administrators a centralized dashboard for monitoring and managing their entire IT Infrastructure. It provides full-stack capabilities that allow admins to track all seven layers of infrastructure, including servers, networks, IP addresses and switch ports, storage devices and applications, as well as firewall configurations. This allows admins to closely track performance, proactively detect issues, efficiently troubleshoot and optimize resources, enhance compliance and security, streamline IT operations and integrate with different tools. OpManager Plus is a powerful tool that helps create a stable, secure, and efficient IT environment.

Slurm Workload Manager, which was previously referred to as Simple Linux Utility for Resource Management (SLURM), is an open-source and cost-free job scheduling and cluster management system tailored for Linux and Unix-like operating systems. Its primary function is to oversee computing tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) settings, making it a popular choice among numerous supercomputers and computing clusters globally. As technology continues to evolve, Slurm remains a critical tool for researchers and organizations requiring efficient resource management.

KeyInfo's Hybrid Cloud allows for strategic decisions regarding the utilization of both cloud resources and traditional infrastructure. It's crucial to understand that a hybrid cloud represents a philosophy of usage rather than a specific technology. The essence of a hybrid cloud lies in how you manage and orchestrate resources across on-premises, private, and public clouds. By shortening provisioning times, you can speed up the development and deployment of applications efficiently. Create a dynamic and scalable environment for application development, testing, and hosting that is fully configured to meet your needs. This setup facilitates continuous delivery of infrastructure, configurations, and applications. It also includes API management with integrated security and governance measures to ensure compliance. Moreover, you can seamlessly integrate and synchronize system data with your SaaS applications, enhancing connectivity and reliable enterprise messaging. Ultimately, this approach fosters a more agile and responsive IT landscape.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

Hitachi Ops Center Automator serves as a comprehensive data center automation tool aimed at expediting IT processes while simplifying resource allocation. It utilizes intelligent provisioning to automatically identify and assign resources based on past performance data, which promotes effective and economical storage management. The platform is equipped with role-based access control to ensure secure administration, a customizable service builder for creating specific workflows, and a vast array of predefined templates for routine operations, along with REST API integration for easy compatibility with existing management systems. By employing artificial intelligence, Ops Center Automator not only boosts operational efficiency but also minimizes the need for manual tasks, enabling IT teams to concentrate on more strategic objectives. Additionally, it offers a diverse selection of templates that exemplify best practices for resource configuration, making it a valuable asset for any data center environment. This versatility ensures that organizations can adapt the tool to meet their unique operational demands effectively.

Adopting hyperconverged infrastructure has never been more straightforward, enabling the support of essential applications with ease. With versatile services tailored for multicloud environments, users can deploy HyperFlex seamlessly through Cisco Intersight. Cisco HyperFlex provides an array of adaptable hyperconverged infrastructure setups designed on the robust Cisco UCS platform. Discover the advanced M5 and edge node options that cater to your unique business requirements. By streamlining operations, you can enhance the performance of critical applications, including SAP and Microsoft SQL. Cisco also presents multiple hybrid cloud and container management solutions, providing you with ample choices to suit your needs. Additionally, empower applications at the edge with a range of configuration options and manage multiple sites effortlessly. Hyperconverged infrastructure (HCI) integrates computing, virtualization, storage, and networking into a unified cluster. Beginning with as few as three nodes, users can easily expand to accommodate growing computing and storage demands. Ultimately, hyperconvergence delivers the simplicity of cloud solutions right on your premises, thereby enhancing overall operational efficiency.

IBM Spectrum LSF Suites serves as a comprehensive platform for managing workloads and scheduling jobs within distributed high-performance computing (HPC) environments. Users can leverage Terraform-based automation for the seamless provisioning and configuration of resources tailored to IBM Spectrum LSF clusters on IBM Cloud. This integrated solution enhances overall user productivity and optimizes hardware utilization while effectively lowering system management expenses, making it ideal for mission-critical HPC settings. Featuring a heterogeneous and highly scalable architecture, it accommodates both traditional high-performance computing tasks and high-throughput workloads. Furthermore, it is well-suited for big data applications, cognitive processing, GPU-based machine learning, and containerized workloads. With its dynamic HPC cloud capabilities, IBM Spectrum LSF Suites allows organizations to strategically allocate cloud resources according to workload demands, supporting all leading cloud service providers. By implementing advanced workload management strategies, including policy-driven scheduling that features GPU management and dynamic hybrid cloud capabilities, businesses can expand their capacity as needed. This flexibility ensures that companies can adapt to changing computational requirements while maintaining efficiency.

Windows Server 2022 brings forth enhanced multi-layered security features, hybrid functionalities with Azure, and a versatile application platform. Begin by fortifying your organization's security framework right from the operating system. Expand your data center capabilities to Azure to achieve improved IT efficiency. Equip developers and IT professionals with a robust application platform designed for building and deploying a range of applications. Discover how using Azure can lead to significant cost reductions through programs like the Azure hybrid benefit and extended security updates. Transform your workloads using Azure, recognized as the reliable cloud solution for Windows Server. Seamlessly connect your on-premises Windows Servers to Azure via Azure Arc. Upgrade to the latest operating system to enjoy superior security, enhanced performance, and increased value. By leveraging Azure, you can now fully tap into the myriad advantages of cloud computing. Starting is free, enabling you to manage servers, clusters, hyper-converged infrastructure, and Windows 10 PCs effectively with Windows Server, making your transition to cloud services smoother and more efficient than ever before.

NVIDIA Base Command Manager provides rapid deployment and comprehensive management for diverse AI and high-performance computing clusters, whether at the edge, within data centers, or across multi- and hybrid-cloud settings. This platform automates the setup and management of clusters, accommodating sizes from a few nodes to potentially hundreds of thousands, and is compatible with NVIDIA GPU-accelerated systems as well as other architectures. It facilitates orchestration through Kubernetes, enhancing the efficiency of workload management and resource distribution. With additional tools for monitoring infrastructure and managing workloads, Base Command Manager is tailored for environments that require accelerated computing, making it ideal for a variety of HPC and AI applications. Available alongside NVIDIA DGX systems and within the NVIDIA AI Enterprise software suite, this solution enables the swift construction and administration of high-performance Linux clusters, thereby supporting a range of applications including machine learning and analytics. Through its robust features, Base Command Manager stands out as a key asset for organizations aiming to optimize their computational resources effectively.

The Dialogic® PowerVille™ LB is a cloud-ready, high-performance software-based load balancer specifically engineered to tackle the complexities of modern Real-Time Communication infrastructures used in both enterprise and carrier environments. It provides automatic load balancing capabilities for various services, such as database, SIP, Web, and generic TCP traffic, across multiple applications in a cluster. With features like high availability, intelligent failover, and awareness of call states and context, it significantly enhances system uptime. This efficient load balancing and resource allocation minimize costs while ensuring that reliability is not compromised. The system's software agility, coupled with a robust management interface, streamlines operations and maintenance, ultimately lowering overall operational costs. Additionally, its design allows for seamless integration into existing frameworks, making it an adaptable solution for evolving network demands.

Hyperview's cloud-based DCIM application is easy to use and adopt. The application empowers operations teams in optimizing their data center infrastructure. It also lowers costs and prevents unplanned outages. This application is a stark contrast to traditional DCIM software, which can be expensive, complicated, unnecessarily bloated, resource-intensive, resource-intensive, and complex. Hyperview allows users to discover (agentless), all network-connected IT assets. This gives them an accurate and current inventory of all their devices. All data related to the device is automatically captured and can be monitored for any changes. Further, the application can be used to monitor and manage capacity, rack space, floor space, asset lifecycles and temperature. The core features include Asset Management and Power Monitoring, Energy Management and Environmental Monitoring, as well as Capacity Planning and 3D Visualization.

A growing number of companies are shifting their operations to cloud platforms to enhance their digital transformation efforts. This transition necessitates a novel security solution that offers centralized oversight and administration for workloads within these cloud environments. AhnLab CPP serves as a cohesive cloud workload protection platform that emphasizes delivering tailored security, streamlined management, and adaptability for workloads across hybrid settings. It ensures extensive visibility and straightforward management for workloads operating on both on-premise and cloud servers, including AWS and Azure environments. The platform facilitates effortless operation through a single web-based management interface. With its modular CPP management, it allows for flexible configurations based on specific business needs. Additionally, it helps reduce costs by permitting targeted installation and utilization of security solutions. Moreover, it offers real-time malware scanning capabilities for both Windows and Linux servers while maintaining minimal resource and performance impact, ensuring that businesses can operate efficiently in a secure environment. Ultimately, AhnLab CPP represents a critical tool for organizations striving to safeguard their cloud workloads while embracing the advantages of digital innovation.

ROUTEMASTER OSP is a cutting-edge solution designed for the effective management of outside plant fiber and FTTH networks. It streamlines the oversight of communication resources, including outdoor equipment, cables, optical components, and FTTH infrastructure. By incorporating Geographic Information System (GIS) support, it delivers comprehensive geographical visualization of network elements, enhancing the efficiency of network planning and oversight. This platform facilitates real-time monitoring of network devices from various manufacturers, featuring advanced alert systems that promptly inform users of any problems, thereby maintaining peak network performance. In addition to its monitoring capabilities, ROUTEMASTER OSP boasts robust reporting and analytics tools that assist in strategic planning and informed decision-making. It also ensures smooth interoperability with third-party systems via REST API and RabbitMQ integration. The platform is designed to be highly scalable, making it an ideal choice for overseeing extensive network infrastructures. With its user-friendly interface, ROUTEMASTER OSP empowers network managers to optimize their operations effectively.

The VersaStack solution, a collaborative effort between IBM and Cisco, integrates a wide array of converged infrastructure and software-defined technologies aimed at accelerating digital transformation. This innovative platform enhances the simplicity, efficiency, and adaptability of deployments in cloud computing, big data, and enterprise applications. It facilitates autonomous operations within data centers while significantly reducing capital expenditures, operating costs, and total cost of ownership (TCO). Resources can be dynamically allocated from a pool of compute, network, and storage options, whether on-premises or within the cloud. By supporting hybrid environments and IT as a Service (ITaaS), VersaStack enables seamless deployments across on-premises, private, and public cloud infrastructures. With its robust IT automation capabilities, the solution is designed for versatile use in public, private, and hybrid cloud settings. It addresses varying capacity requirements through a range of all-flash and hybrid data storage solutions, optimizes existing storage systems, and accommodates block, file, and object data. This comprehensive approach ensures that organizations can effectively manage and scale their data infrastructure to meet evolving business demands.

The Azure Hybrid Benefit offers a valuable licensing opportunity that can greatly lower your cloud workload expenses. By allowing the use of your on-premises Windows Server and SQL Server licenses that have Software Assurance on Azure, this benefit streamlines your transition to the cloud. Furthermore, it now extends to include RedHat and SUSE Linux subscriptions as well. You can save as much as 85 percent compared to the typical pay-as-you-go pricing by utilizing your existing Windows Server and SQL Server licenses in Azure. To maximize savings, consider combining this benefit with reservation pricing and extended security updates for the best cost of ownership. Additionally, it’s possible to leverage current SQL Server licenses in platform as a service (PaaS) setups, further enhancing your flexibility. Overall, the Azure Hybrid Benefit is a strategic approach to cost reduction that empowers you to utilize your existing licensing investments effectively while transitioning to Azure.

AWS High Performance Computing (HPC) services enable users to run extensive simulations and deep learning tasks in the cloud, offering nearly limitless computing power, advanced file systems, and high-speed networking capabilities. This comprehensive set of services fosters innovation by providing a diverse array of cloud-based resources, such as machine learning and analytics tools, which facilitate swift design and evaluation of new products. Users can achieve peak operational efficiency thanks to the on-demand nature of these computing resources, allowing them to concentrate on intricate problem-solving without the limitations of conventional infrastructure. AWS HPC offerings feature the Elastic Fabric Adapter (EFA) for optimized low-latency and high-bandwidth networking, AWS Batch for efficient scaling of computing tasks, AWS ParallelCluster for easy cluster setup, and Amazon FSx for delivering high-performance file systems. Collectively, these services create a flexible and scalable ecosystem that is well-suited for a variety of HPC workloads, empowering organizations to push the boundaries of what’s possible in their respective fields. As a result, users can experience greatly enhanced performance and productivity in their computational endeavors.

NVIDIA Base Command™ is a software service designed for enterprise-level AI training, allowing organizations and their data scientists to expedite the development of artificial intelligence. As an integral component of the NVIDIA DGX™ platform, Base Command Platform offers centralized, hybrid management of AI training initiatives. It seamlessly integrates with both NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. By leveraging NVIDIA-accelerated AI infrastructure, Base Command Platform presents a cloud-based solution that helps users sidestep the challenges and complexities associated with self-managing platforms. This platform adeptly configures and oversees AI workloads, provides comprehensive dataset management, and executes tasks on appropriately scaled resources, from individual GPUs to extensive multi-node clusters, whether in the cloud or on-site. Additionally, the platform is continuously improved through regular software updates, as it is frequently utilized by NVIDIA’s engineers and researchers, ensuring it remains at the forefront of AI technology. This commitment to ongoing enhancement underscores the platform's reliability and effectiveness in meeting the evolving needs of AI development.

Significantly reduce your Kubernetes expenses by as much as 80% while boosting the reliability of your cluster through cutting-edge, real-time automation that takes application context into account for your essential production settings. Our innovative approach to cloud resource management, powered by our unique technology, harnesses the benefits of real-time automation and application awareness, allowing cloud-native applications to reach their maximum potential. Save on Kubernetes costs with our smart resource optimization and automated workload handling, guaranteeing you only expend resources when necessary while maintaining top-tier performance. Improve your Kubernetes setups for optimal application efficiency and strengthen cluster dependability with both proactive and reactive solutions that swiftly address issues from unexpected traffic spikes and overloaded nodes, promoting stability and consistent performance. The installation process is remarkably quick, taking just 2 minutes, and starts with read-only permissions, allowing you to instantly experience the advantages our platform can deliver to your applications, paving the way for better resource management. With our system, you'll not only cut costs but also enhance operational efficiency and application responsiveness in real-time.

A single solution for certificate management, which helps automate and manage all certificates across Cloud Environments, On Premises, Hybrid IT Environments, and Kubernetes Clusters. It manages certificates throughout their entire lifecycle, including certificate issuance and monitoring, renewal, and revocation.

Design, oversee, operate, and enhance high-performance computing (HPC) and large-scale compute clusters seamlessly. Implement comprehensive clusters and additional resources, encompassing task schedulers, computational virtual machines, storage solutions, networking capabilities, and caching systems. Tailor and refine clusters with sophisticated policy and governance tools, which include cost management, integration with Active Directory, as well as monitoring and reporting functionalities. Utilize your existing job scheduler and applications without any necessary changes. Empower administrators with complete authority over job execution permissions for users, in addition to determining the locations and associated costs for running jobs. Benefit from integrated autoscaling and proven reference architectures suitable for diverse HPC workloads across various sectors. CycleCloud accommodates any job scheduler or software environment, whether it's proprietary, in-house solutions or open-source, third-party, and commercial software. As your requirements for resources shift and grow, your cluster must adapt accordingly. With scheduler-aware autoscaling, you can ensure that your resources align perfectly with your workload needs while remaining flexible to future changes. This adaptability is crucial for maintaining efficiency and performance in a rapidly evolving technological landscape.

Enhancing application performance becomes effortless when you streamline resources throughout your data centers and cloud environments using a single software solution. Discover the impact of your application and infrastructure dependencies on workload efficiency through comprehensive visibility. Utilize AI-driven analytics and tailored resource suggestions to proactively tackle potential issues before they disrupt your operations. Achieve cost reductions, automate processes, and enhance application resource management across your IT landscape. Our instantaneous decision-making engine designed for hybrid cloud setups empowers you to manage everything from a unified interface. Implement resource recommendations automatically at your preferred times. When integrated with Cisco AppDynamics, you can merge real-time insights into business performance and user experience with automated infrastructure management. Additionally, gain deeper insights by connecting with external APM tools like Dynatrace and New Relic. Ensure optimal performance for applications and workloads deployed on AWS while maximizing resource efficiency and minimizing downtime.

Data processing that integrates both streaming and batch operations while being serverless, efficient, and budget-friendly. It offers a fully managed service for data processing, ensuring seamless automation in the provisioning and administration of resources. With horizontal autoscaling capabilities, worker resources can be adjusted dynamically to enhance overall resource efficiency. The innovation is driven by the open-source community, particularly through the Apache Beam SDK. This platform guarantees reliable and consistent processing with exactly-once semantics. Dataflow accelerates the development of streaming data pipelines, significantly reducing data latency in the process. By adopting a serverless model, teams can devote their efforts to programming rather than the complexities of managing server clusters, effectively eliminating the operational burdens typically associated with data engineering tasks. Additionally, Dataflow’s automated resource management not only minimizes latency but also optimizes utilization, ensuring that teams can operate with maximum efficiency. Furthermore, this approach promotes a collaborative environment where developers can focus on building robust applications without the distraction of underlying infrastructure concerns.

SwarmOne is an innovative platform that autonomously manages infrastructure to enhance the entire lifecycle of AI, from initial training to final deployment, by optimizing and automating AI workloads across diverse environments. Users can kickstart instant AI training, evaluation, and deployment with merely two lines of code and a straightforward one-click hardware setup. It accommodates both traditional coding and no-code approaches, offering effortless integration with any framework, integrated development environment, or operating system, while also being compatible with any brand, number, or generation of GPUs. The self-configuring architecture of SwarmOne takes charge of resource distribution, workload management, and infrastructure swarming, thus removing the necessity for Docker, MLOps, or DevOps practices. Additionally, its cognitive infrastructure layer, along with a burst-to-cloud engine, guarantees optimal functionality regardless of whether the system operates on-premises or in the cloud. By automating many tasks that typically slow down AI model development, SwarmOne empowers data scientists to concentrate solely on their scientific endeavors, which significantly enhances GPU utilization. This allows organizations to accelerate their AI initiatives, ultimately leading to more rapid innovation in their respective fields.