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IBM has announced the next evolution of its software-defined infrastructure, designed to speed analysis of data and simplify management of distributed environments. The new IBM Spectrum Computing portfolio of intelligent resource and workload management software is built for organizations that use data for competitive advantage and need to extract full value from that data—fast.
Accelerating results for high performance data analytics in the cognitive era
Cognitive, resource-aware scheduling policies help increase the utilization of existing computing resources, controlling costs while speeding results for high-performance computing, big data analytics and cloud-native applications—including those built on open source frameworks such as Apache Spark, Hadoop and NoSQL databases. Traditional IT server configurations, hypervisor environments and storage silos do not work well for these modern scale-out applications and frameworks because they are not optimized for distributed computing. They are optimized for traditional workloads such as email, SQL database applications and data warehouses as well as virtual desktops. IBM Spectrum Computing is defining a new generation of software-defined infrastructure—one that enables IT to cost-effectively unleash the potential of a new generation of applications.
Solutions in the new IBM Spectrum Computing portfolio include:
- IBM Spectrum Conductor: Designed to work with new-generation cloud-native applications and open source frameworks, speeds time to results by enabling increasingly complex applications to share resources—all while helping to protect and manage data.
- IBM Spectrum Conductor with Spark: Simplifies the adoption of Spark, an open source big data analytics framework, while increasing time to insight by as much as 60 percent.
- IBM Spectrum LSF: Scalable workload management software helps organizations accelerate research, simulation and design while controlling costs. IBM Spectrum LSF 10 provides 5x greater throughput and up to 3x higher scalability than previous Platform LSF versions.
By consolidating scale-out applications to a virtualized compute cluster, grid or cloud, IBM Spectrum Computing software helps reduce wasteful idle server time across traditionally siloed clusters. Each application receives the resources and data it needs, when it needs them, cutting out or reducing wait times and accelerating results.
Transforming how organizations manage their data and applications
The ultimate aim of a software-defined solution is to accelerate business results while reducing costs. Achieving this optimized performance and cost efficiency requires an application-aware infrastructure that captures workload requirements, provides policy-based automation across the hybrid cloud and includes flexible reporting and monitoring. IBM Spectrum Computing software delivers on all these capabilities, helping organizations transform the way they manage performance-intensive distributed environments.
Building on IBM’s software defined infrastructure strategy, where workloads are serviced automatically based on business priorities, IBM Spectrum Computing helps organizations to consolidate applications and shared resources across hybrid clouds.
In an era of rapid change and increasing competition, organizations require a smarter infrastructure that is agile, flexible and resilient. Discover how the new IBM Spectrum Computing family can give organizations the competitive advantage they need—don’t miss these informative sessions:
You can learn more about how IBM Spectrum Computing can accelerate your time-to-results while reducing costs here.