Heidi by Adaptive Computing is a cloud-based supercomputing platform designed to make High-Performance Computing (HPC) and Artificial Intelligence (AI) accessible to students and educators.

Stream, analyze, and visualize HPC data with customizable dashboards and reports to improve efficiency and decision-making.

Viewpoint is a rich, easy-to-use portal for end-users and administrators, designed to increase productivity through its visual web-based interface, powerful job management features, and other workload functions. The portal provides greater self-sufficiency for end-users while reducing administrator overhead in High Performance Computing (HPC).

Moab Wide Area Grid is a powerful grid-workload management solution that provides unified scheduling, intelligent policy management, integrated resource management, data staging, distributed computing, and consolidated monitoring and management across multiple clusters.

End-to-end generative AI and HPC/ML cloud service with 120+ open-source tools, optimized for multi-cloud and on-prem deployments.

Adaptive Cluster Manager is a cluster management solution for efficiently building, deploying and managing Linux-based HPC & AI clusters consisting of Head node(s), Compute nodes and Storage.

Remote Visualization enables pixel-perfect 2D/3D rendering from HPC clusters to any device, boosting productivity and reducing hardware costs.

Cloud-based HPC, AI, ML, and analytics platform offering compute, storage, and software for scalable, cost-effective performance-intensive workloads.

Nitro accelerates task launch speeds for short HPC jobs, enabling 100x faster throughput and improved system efficiency.

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.

Accounting Manager is a fast, easy-to-use accounting management system that allows showback and chargeback for usage tracking and charging for resource or service usage in virtually any computing environment.

Workload-aware power management for HPC systems that reduces energy costs, carbon footprint, and unnecessary power consumption.

TORQUE is a scalable, fault-tolerant resource manager for HPC environments, supporting job control, scheduling, and system optimization.

Adaptive Computing’s HPC Cloud On-Demand Data Center™ (ODDC) is a scalable cloud systems management solution that provides an easy way to spin up temporary or persistent HPC cloud infrastructure resources quickly, inexpensively, and on-demand. It gives organizations the ability to leverage Cloud Service Provider resources, without vendor lock-in to any single CSP.