IBM expanded its portfolio of software-defined infrastructure solutions with cognitive features to help clients improve the management of computing resources to achieve faster, results from data-driven applications and analytics.
The new intelligent resource and workload management software, called IBM Spectrum Computing, is designed to make it easier for organizations to extract full value from data to accelerate performance-intensive analytics or machine learning. This technology can be used across industries.
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.
- Designed to speed analysis of data – 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.
- Integrates Apache Spark – 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.
- Accelerates research and design – IBM Spectrum LSF is a comprehensive 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 Conductor was developed over two years through the collaboration of IBM developers and clients focused on accelerating next-generation analytics. The software manages multiple applications at one time ensuring allocation of resources to achieve faster time to results. Highly-efficient, multi-tenant scheduling allows for data and resource sharing without compromising availability or security.
Recognizing the vital role of open source software to the technical community, IBM intends to contribute a key component of IBM Spectrum Conductor to further advance the adoption of Apache Spark by data scientists and developers.
“Data is being generated at tremendous rates unlike ever before, and its explosive growth is outstripping human capacity to understand it, and mine it for business insights,” said Bernard Spang, VP, IBM Software Defined Infrastructure. “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.”
IBM Spectrum LSF delivers comprehensive 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 five-times greater throughput and up to three-times higher scalability than previous IBM Platform LSF versions.
The Latest
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...