Compare Altair Grid Engine vs. Modius OpenData

Altair® Grid Engine stands out as a premier distributed resource management system that effectively streamlines workloads and resource allocation across numerous data centers, significantly boosting performance, productivity, and overall efficiency. By optimizing application throughput and resource performance, it enables organizations to enhance their return on investment and achieve results more swiftly, all while maximizing the use of shared computing resources across on-premises, hybrid, and cloud environments. Among its notable features is advanced GPU support, which ensures optimal utilization of GPU resources both locally and in cloud settings, along with cloud-optimized capabilities that facilitate seamless deployment and scaling of dedicated and hybrid high-performance computing clusters. The system is also recognized for its proven scalability, maintaining high performance even in clusters with over a million cores or virtual CPUs. Furthermore, Altair® Grid Engine provides robust monitoring and reporting tools that allow users to effectively track resource consumption, coupled with license-aware scheduling designed to efficiently manage and share costly application licenses, ensuring organizations can fully leverage their investments in technology. This comprehensive approach makes it an indispensable tool for organizations seeking to maximize their computational efficiency.

Modius offers solutions to manage the availability, capacity, efficiency, and availability of critical facilities. OpenData, our flagship product, includes all the tools, including DCIM, needed to manage mission-critical infrastructure performance, which includes seamless integration with disparate devices. OpenData integrates analytics, dashboards and graphical views into a single pane of glass. Modius collaborated with the ESTCP to demonstrate a Middleware solution that makes it easier to use utility and facility data to improve facility management, operation, maintenance, and operations.