Why IBM Spectrum Computing?

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 FORMULA ONE TEAM. IBM Spectrum Computing INNOVATION PARTNER

Optimized for compute and data-intensive workloads

New Generation

To accelerate business insights from all their data, IT managers are adopting a new generation of technologies such as Apache Spark, noSQL databases and containers. But traditional IT server configurations, hypervisor environments and storage silos do not work well for these modern approaches because they are not optimized for distributed computing. IBM Spectrum Conductor with Spark meets this challenge with software defined infrastructure technology that is designed for distributed environments and enables organizations to deploy Apache Spark efficiently and effectively, supporting multiple versions and instances of Spark and a broad set of born-in-the-cloud application frameworks.

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.

Big Data Analytics

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.

What’s New

Accelerate Science and Engineering

Learn how organizations can drive productivity and maximize the utilization and value of their high performance computing (HPC) infrastructure with new IBM Spectrum LSF 10.1

Compliments of IBM. IBM Limited Edition. Spark FOR DUMMIES A Wiley Brand

Spark for Dummies

Learn about the state of Big Data today, along with how Spark can streamline and simplify the ways you interact with and extract value from it.

Boost your Big Data Analytics

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.

Helping our clients achieve success

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.

CreDist

While reducing the time to job submission by 80% and significantly increasing productivity, CreDist uses hybrid cloud to help engineers focus on creating new products and not on HPC infrastructure.

Chicago Mercantile Exchange

The CME Group scales portfolio risk analytics more than 700x to meet stricter liquidity rules for clearing and settlement in the derivatives marketplace.

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