Improvement in the management of computing resources to achieve faster, results from data-driven applications and analytics is the main result from making investment in the latest software-defined infrastructure solutions from IBM.
IBM Spectrum Computing, the intelligent resource and workload management software, is assisting organizations to extract full value from data to accelerate analytics or machine learning.
The US-based technology company has shared some possible use cases. For instance, enterprises can utilize IBM technology to sequence genomes for cancer treatment, or engineers can design a Formula One race car or bankers can personalize financial services to attract new customers.
Matt Cadieux, CIO of Red Bull Racing, said that designing a championship-winning Formula One car requires the ongoing efforts of technology to utilize the power of available IT resources.
“IBM Spectrum LSF helps us achieve excellent performance for our most demanding compute- and data-intensive applications. We can get more accomplished with fewer resources, reducing infrastructure and administration, and speeding new race car designs,” said Matt Cadieux, CIO of Red Bull Racing.
IBM Spectrum LSF delivers workload and resource management capabilities for high-performance research, design and simulation applications. Ease of use is improved through an enhanced mobile user interface, improved reporting and workload visibility.
Bernard Spang, vice president, IBM Software Defined Infrastructure, said: “At the core of the cognitive infrastructure is the need for high performance analytics of both structured and unstructured data. IBM Spectrum Computing is helping organizations more rapidly adopt new technologies and achieve greater, more predictable performance.”
The IBM Spectrum Computing platform offers new cognitive, resource-aware scheduling policies that help increase the utilization of existing compute resources, controlling costs while speeding results for high performance computing, big data analytics, new generation applications and open source frameworks, such as Hadoop and Apache Spark.
IBM Spectrum Computing assists organizations with consolidating data center infrastructure and sharing resources across on-premise, cloud or hybrid environments — and includes three new software products.
IBM Spectrum Computing
IBM Spectrum Conductor works with cloud applications and open source frameworks, speeding time to results by enabling increasingly complex applications to share resources, all while protecting and managing data throughout its lifecycle.
IBM Spectrum Conductor with Spark simplifies the adoption of Apache Spark, an open source big data analytics framework, while delivering up to 60 percent faster analytical results.
IBM Spectrum LSF is a workload management software featuring flexible and easy to use interfaces to help organizations accelerate research and design by up to 150 times while controlling costs through advanced resource sharing and improved utilization.
IBM Spectrum LSF delivers workload and resource management capabilities for high-performance research, design and simulation applications. Ease of use is improved through an enhanced mobile user interface, improved reporting and workload visibility. Significant performance enhancements offer 5 times greater throughput and up to 3 times higher scalability than previous IBM Platform LSF versions.
IDC estimates the market for software-defined infrastructure – where the data center is managed, provisioned and automated by software regardless of compute, storage or network components — to reach nearly $51 billion by 2019, growing at a rate of 23.8 percent from 2014 to 2019.