Altair® Grid Engine® is a premier distributed resource management system designed to optimize workloads and resources across thousands of data centers. It enhances performance, productivity, and efficiency by managing workloads automatically, maximizing shared resources, and accelerating the execution of containers, applications, and services. Deployable in any technology environment—on-premises, cloud, hybrid cloud, or cloud-native high-performance computing —Altair Grid Engine enables enterprises to deliver products and results faster, more efficiently, and with lower overall costs. Key Features and Functionality: - Advanced GPU Support: Supports new frameworks and maximizes the use of GPU resources both on-premises and in the cloud. - Cloud-Friendly Features: Facilitates easy deployment and scaling of dedicated and hybrid HPC clusters in various cloud environments. - Extreme Performance and Scalability: Proven to enhance performance and reduce time to results in clusters exceeding 1 million cores or virtual CPUs. - Monitoring and Reporting: Provides comprehensive tracking and measurement of resource utilization through detailed reporting. - License-Aware Scheduling: Efficiently manages application licenses with the optional License Orchestrator, optimizing the use of expensive software licenses. - Broad OS and Hardware Support: Compatible with various operating systems, including Linux and Windows, and supports x86, Power, and Arm architectures. Primary Value and User Solutions: Altair Grid Engine addresses the critical need for efficient workload management and resource optimization in complex computing environments. By enhancing throughput and performance of applications, containers, and services, it enables organizations to deliver higher-quality results faster. The system's ability to maximize shared compute resources across on-premises, hybrid, and cloud infrastructures leads to improved return on investment and reduced operational costs. Additionally, its broad application support across industries such as life sciences, manufacturing, energy, machine learning, and AI ensures versatility and adaptability to various computational demands.