IBM Platform Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center whether on premises and in the cloud. Now faster, more flexible and scalable to over 160,000 cores, IBM uses the advances in software-defined infrastructure to help you unleash the power of your distributed computing environment.
Discover the top 10 ways that IBM Platform Computing can save you money
IBM Platform LSF family is a powerful workload management platform for demanding, distributed HPC environments that provides up to 150x greater throughput for improved productivity and faster time to results. Learn how the Platform LSF family of products is continually evolving to meet the needs of the most demanding HPC users.
IBM Platform Symphony is a highly scalable, high-throughput, low-latency workload and resource management software solution for compute- and data-intensive analytics applications. It can reallocate more than 1,000 compute engines per second to different workloads and, with sub-millisecond overhead per task, provides throughput of up to 17,000 tasks per second.
IBM Platform Conductor for Spark enables organizations to achieve faster insights with Apache Spark. Time to results is accelerated up to 60% with policy based, workload-aware resource management. Resource and data sharing is significantly increased without compromising availability or security.
Get insights from Carl Olofson, IDC Research VP, Application Development and Deployment on deploying Spark in a production environment providing you faster time-to-results for big data analytics and more.