IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined computing technology to help you unleash the power of your distributed mission-critical high performance computing (HPC) infrastructure, for up to 150x faster, analytics and big data applications as well as new generation open source frameworks such as Hadoop and Spark.
Red Bull Racing: the hard science behind Formula One
Formula One is an incredibly fast moving sport. The speed of innovation is extreme – as many as 30,000 engineering changes are made over the course of a season. Fast, highly accurate data-driven decision making, whether it’s in the factory or on the circuit, is critical for success. Join Red Bull Racing as they discuss the high-tech innovations needed to achieve success and how IBM solutions help – from the drawing board to race day! And learn how you can translate this to achieve 30-50% greater throughput for your research, engineering and design workloads.
IBM Spectrum LSF is a powerful workload manager for demanding HPC environments that improves productivity by accelerating research and design, delivering faster time to results. Learn how the IBM Spectrum LSF can give you a competitive advantage while controlling costs.
IBM Spectrum 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.
Learn how to optimize your big data analytics infrastructure for performance, flexibility and long-term value and get insights from IDC Research VP Carl Olofson on deploying Spark in a production environment.
IBM Spectrum Computing in action for real-world results
Wellcome Trust Sanger Institute
To help its scientists stay at the leading edge of medical research, Wellcome Trust Sanger Institute uses software-defined computing to optimize IT capacity of 15,000 cores for faster genomic pipelines and analytics.