High Performance Computing most generally refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in science, engineering, or business.
Data Locality: Bring your data close to compute. Make your data local to compute workloads for Spark caching, Presto caching, Hive caching and more. Data Accessibility: Make your data accessible. No matter if it sits on-prem or in the cloud, HDFS or S3, make your files and objects accessible in many different ways. Data On-Demand: Make your data as elastic as compute. Effortlessly orchestrate your data for compute in any cloud, even if data is spread across multiple clouds.
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