ibm power systems

Generative Adversarial Network technology: AI goes mainstream

AI, Power servers, Power Systems

There have been some fun and popular applications in recent years that allow users to manipulate images of a human face using filters for age, gender, facial expression and the like.  With these apps, you can get magazine-cover quality images for any selfie with just a few clicks. These apps can transform a face to ...read more


Top IBM Power Systems myths: “x86 public cloud beats Power cloud solutions on cost”

IBM Systems Lab Services, Power servers, Power Systems

Since I started the “Power myths” blog series in 2018, a lot has happened to enhance an already strong cloud strategy for IBM Power Systems, including the recent announcement that IBM POWER9 servers running AIX and IBM i are now available “as-a service” on IBM Cloud. Clients have responded to Power’s cloud strategy very positively, ...read more


IT inspiration for your own digital transformation

AI, Blockchain, Digital transformation...

Today’s biggest challenges involve managing huge amounts of data and getting the most value from it while also keeping that data secure. At IBM, we provide the most comprehensive IT infrastructure solutions to help all of our clients maximize their data’s potential and propel their company forward into a world of p ossibilities. What that ...read more


Automate disaster recovery using IBM VM Recovery Manager

IBM Systems Lab Services, Power servers, Power Systems

Business continuity is a top priority for every enterprise. And, at the foundation, it’s all about having a solid plan in place to deal with disruptions and potential threats. If you’re an IT planner, you know that data protection and disaster recovery (DR) — the aspects of business continuity that are most relevant to IT ...read more


Deploying AI to the front line

AI, Machine learning, Power servers...

For AI to truly take off in an enterprise, it cannot be siloed within the ivory tower of the IT department, examined only by a team of specialized data scientists. To truly succeed, AI must extend to the front line workers who can augment their own domain knowledge with AI-driven recommendations and insight. Undercover AI ...read more


Top IBM Power Systems myths: x86 is the industry standard and Power is becoming obsolete

IBM Systems Lab Services, OpenPOWER, Power servers...

There are many misconceptions about IBM Power Systems in the marketplace today, and this blog series will help to dispel some of the top myths. In my previous post, I put aside the myth that migrating from x86 to IBM Power Systems is costly, painful and risky. In this post, we’ll look at another myth ...read more


Watson Machine Learning Accelerates AI on IBM Power Systems

Machine learning, Power servers, Power Systems

New Accelerator drives up to 46x faster[i] machine learning training compared to competitors Enterprise leaders looking to drive business value from artificial intelligence (AI) require an infrastructure composed of AI-optimized hardware and software that breaks performance barriers while also delivering AI insights when, and where, they want them. And while the potential of AI to ...read more


Make data ready for AI with ICP for Data on Power Systems

AI, Power servers, Power Systems

As artificial intelligence (AI) capabilities mature, enterprise leaders are continuously evaluating use cases that can transform their business. A key challenge that slows down AI adoption is the abundant but untamed data that is not ready for AI. There is a strong correlation between companies outperforming in AI adoption and the ones that have a ...read more


PowerAI Enterprise joins the Watson Family

AI, Deep learning, Machine learning...

At IBM Think this year we are excited to announce the next natural step in the evolution of the PowerAI portfolio as PowerAI Enterprise joins the Watson family. Cognitive applications and workloads like AI, machine learning and deep learning are of key strategic importance to our clients and an area of strategic investment within IBM. ...read more