HPC cloud On-demand Data Center™
For Intelligent Cloud System Management
HPC WORKLOAD SCHEDULING
AND CLOUD SOLUTIONS
Adaptive Computing has provided advanced applications and tools to the High-Performance Computing industry for over two decades with hundreds of deployments on the world’s largest computing installations. Adaptive Computing products and services are used by organizations of all sizes across a broad range of industries such as High-Tech Manufacturing, Aerospace Engineering, Defense, Universities, Government Research Labs, Life Sciences, Oil and Gas Exploration, and Financial Services. Adaptive continues to meet demand in the areas of Machine Learning, Artificial Intelligence, Big Data, and HPC Cloud. Some of the world’s largest clusters, grids, and data centers use Adaptive’s Moab HPC Suite and the HPC Cloud On-Demand Data Center to maximize performance and value, simplify management, and create a competitive advantage.
Moab® HPC Suite is a workload and orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on a massive scale. Adaptive’s HPC Cloud On-Demand Data Center (ODDC) is a scalable cloud systems management solution that gives organizations the ability to spin up temporary or persistent HPC cloud infrastructure resources quickly, inexpensively, and on demand without vendor lock-in to any major cloud service provider. The enterprise-grade platform can be used to automatically deploy and build clusters in the Cloud, automatically run applications on those clusters, and then terminate the cloud resources, ensuring that the customer only pays for cloud services while resources are in use. Customers typically save 50–70% on cloud usage costs.
How Can We Help You?
Adaptive Computing’s leadership in IT decision-engine software has resulted in a solid Fortune 500 and Top500 supercomputing customer base. Below are a few of the 200+ customers that trust Adaptive Computing to bring higher levels of decision, control, and self-optimization to the challenges of deploying and managing large and complex IT environments.