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Adaptive Computing offers a suite of products with features designed to optimize HPC environments. Key features include: Adaptive.HPC/AI/ML-as-a-Service, Adaptive Cluster Manager for building and managing HPC clusters, HPC Cloud On-Demand Data Center for accessing cloud resources, Moab HPC Suite for workload and resource orchestration, Viewpoint Accounting Manager for monitoring and reporting, Wide Area Grid for distributed computing, Power Management for energy efficiency, Remote Visualization for accessing graphical applications, Reporting & Analytics for data-driven insights, Nitro High Throughput for accelerating launch time for large volumes of small jobs, and Torque Resource Manager. Additional key product features include an End User Job Submission Portal, application templates, job dependencies, web-based file manager, NUMA-aware job placement, Docker container support, and NODUS provisioning platform with Cloud Bursting, Heidi for K-12 and Higher Education, and a Generative AI Training Offering for Enterprises.
Adaptive Computing Solutions
Adaptive Computing offers advanced HPC solutions, enabling organizations to optimize performance, reduce operational costs, and simplify management of complex computing environments; their focus on cloud bursting and AI solutions provides a competitive advantage in the market.
Adaptive Computing positions itself as a provider of advanced HPC solutions, focusing on optimizing performance, reducing costs, and simplifying management across industries, particularly for organizations needing AI and cloud capabilities.
Altair
Rescale
Nimbix
Customer sentiment is likely positive due to Adaptive Computing's focus on efficiency and cost reduction, but may be hindered by the perceived complexity of HPC solutions; simplified messaging and user-friendly interfaces could enhance sentiment.
Refine brand messaging to emphasize ease of use and affordability, particularly for educational institutions and smaller enterprises.
Adaptive Computing offers a suite of products with features designed to optimize HPC environments. Key features include: Adaptive.HPC/AI/ML-as-a-Service, Adaptive Cluster Manager for building and managing HPC clusters, HPC Cloud On-Demand Data Center for accessing cloud resources, Moab HPC Suite for workload and resource orchestration, Viewpoint Accounting Manager for monitoring and reporting, Wide Area Grid for distributed computing, Power Management for energy efficiency, Remote Visualization for accessing graphical applications, Reporting & Analytics for data-driven insights, Nitro High Throughput for accelerating launch time for large volumes of small jobs, and Torque Resource Manager. Additional key product features include an End User Job Submission Portal, application templates, job dependencies, web-based file manager, NUMA-aware job placement, Docker container support, and NODUS provisioning platform with Cloud Bursting, Heidi for K-12 and Higher Education, and a Generative AI Training Offering for Enterprises.
Based on the limited information, Adaptive Computing likely offers workload management and optimization solutions, potentially focusing on High-Performance Computing (HPC) and cloud environments. Their software may provide features for resource scheduling, job management, and policy-based optimization. However, without access to the website, a detailed description of their product offerings is not possible.
Adaptive Computing's HPC Cloud On-Demand Data Center™ provides preconfigured access to all major public cloud providers and an easy way to spin up cloud ...
View sourceAdaptive 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 ...
View sourceFeb 16, 2018 ... Adaptive Computing announces the release of Moab/NODUS Cloud Bursting 1.1.0. The new release introduces several new features to Moab's elastic computing ...
View source... new name which is the current name prefixed with the string "PBS_O_". For example, the job will have access to an environment variable named PBS_O_HOME ...
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