data center

Explore the future of enterprise Linux systems at Think 2019

Banking & finance, Blockchain, Cloud computing...

Many organizations rely on Linux-based systems to support critical enterprise applications. Yet as their businesses grow, these organizations are increasingly looking for alternatives to commodity x86 servers. They need better ways to meet enterprise-grade security, reliability and scalability requirements while controlling costs and complexity. IBM LinuxONE enterprise systems offer an answer. From banks to cloud ...read more


Guard your virtual environment with IBM Spectrum Protect Plus

Banking & finance, Cloud object storage, Data centers...

The server virtualization market is expected to grow to approximately 8 billion dollars by 2023. This would mean a compound annual growth rate (CAGR) of 7 percent between 2017 and 2023. Protection of these virtual environments is therefore a significant and critical component of an organization’s data protection strategy. This growth in virtual environments necessitates ...read more


Three ways to intelligently scale your IT systems

Banking & finance, Data centers, DevOps...

Digital transformation, with its new paradigms, presents new challenges to your IT infrastructure. To stay ahead of competitors, your organization must launch innovations and release upgrades in cycles measured in weeks if not days, while boldly embracing efficiency practices such as DevOps. Success in this environment requires an enterprise IT environment that is scalable and ...read more


How to choose the best IT infrastructure for SAP HANA

Big data & analytics, Cloud computing, Data centers...

As companies face the looming 2025 challenge to migrate to SAP HANA, many leaders are wrestling with the decision to deploy HANA appliances, move to SAP HANA Cloud or stay put on their current database stack that they have spent years investing in to their unique environments. IBM has worked with many clients who have ...read more


IBM all flash storage and data management solutions for AI

AI, Cloud computing, Data centers...

AI is impacting every industry, and “by 2020, 30 percent of organizations that fail to apply AI will not be operationally and economically viable”. The ecosystem of AI, machine learning (ML) and deep learning (DL) frameworks and patterns continues to mature, which drives enterprise adoption through supported software platforms such as IBM PowerAI Enterprise.  As ...read more


Deploying private cloud to drive a multi-cloud journey

Cloud computing, Data centers, DevOps...

Trimming IT costs and accelerating business transformation are compelling reasons to consider a public cloud strategy. A cloud model enables dynamic provisioning of compute and storage, consumption-based IT and setting up DevOps processes that bring agility in application development and deployment. Despite these benefits, a public cloud may not always be the right location for ...read more


How 4 organizations went from here to AI: IBM podcast series

AI, Data centers, Deep learning...

Dez Blanchfield speaks with business leaders about artificial intelligence and deep learning adoption in the “From Here to AI” podcast series from IBM Power Systems. When you start to investigate artificial intelligence (AI), or branch out to buy a couple AI servers to tinker with for your organization, the process of implementing a full AI ...read more


Easier availability, easier on your wallet with the IBM Spectrum Protect suite

Big data & analytics, Data centers, Data security...

2017 was a great year for IBM data protection. We added many new features to our award-winning enterprise data protection suite with 4 new releases to IBM Spectrum Protect in just the last year. We brought to market a copy management solution (IBM Spectrum Copy Data Management) that reduces copy sprawl and makes use of ...read more


5 key reasons to opt for hyperconverged infrastructure

Cloud computing, Cloud servers, Data centers...

Let’s face it—traditional design for data center infrastructure doesn’t always meet today’s needs. Analytics, transaction processing, high-volume web serving and other data-intensive and mission-critical workloads place new and increased demands on the IT infrastructure. At the same time, specialized IT skills are becoming increasingly challenging to find, and budgets for capital IT expenses continue to ...read more