openPOWER

Top IBM Power Systems myths: The OpenPOWER Foundation is not really an industry backed consortium

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

There are many misconceptions about IBM Power Systems in the marketplace today, and this blog series is helping to dispel some of the top myths. In my last post, I put aside the myth that the x86 architecture is the de-facto industry standard for all applications and that Power Systems will soon become obsolete. In ...read more


Is your scientific software complemented by the best hardware?

Deep learning, High-performance computing, IBM Systems Lab Services...

Did you know you could realize huge performance gains for your scientific applications by taking advantage of the unique capabilities of the IBM Power Systems platform? Are you apprehensive about making the leap to another architecture? Let’s look at the current state of the software ecosystem around IBM POWER, the resources available and how IBM ...read more


Optimizing data lake infrastructure

Big data & analytics, IBM Systems Lab Services, Power servers...

In today’s world, data is the new oil, and there’s a great need to preserve that data for exploration and to derive value. A “data lake” acts as a repository that consolidates an organization’s data into a governed and well-managed environment that supports both analytics and production workloads. It embraces multiple data platforms, such as ...read more


Dispelling the top myths about IBM Power Systems

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

Greek, Roman and Norse mythology gave us a treasure chest of stories to read and enjoy. Their mythology, like many other legends, fables and folklore is fun to learn about. It’s interesting to think about why they were created, how they survived for thousands of years, and what impact they had on their cultures. The ...read more


Take control of your cloud with simple and affordable steps

AI, Cloud servers, OpenPOWER...

With many public cloud adopters moving workloads back on premises due to security and cost concerns, it’s become clear to IT leaders that an “only public” cloud strategy is not the panacea that was promised. Many have instead started embracing “multi-cloud” environments, where some resources and applications are sourced from trusted public cloud providers and ...read more


Big bets on infrastructure innovation: Day 2 recap from Think 2018

AI, Big data & analytics, Blockchain...

Tuesday at IBM Think built on the excitement of Day 1, with even more amazing announcements and eye-opening stories from our clients! The day kicked off with Ginni Rometty’s Chairman’s Address, which highlighted how IBM and our clients are putting smart to work. Ginni professed that we’re at a critical inflection point at the intersection ...read more


Think 2018 is officially here! Day 1 recap from Las Vegas

Data centers, Digital transformation, High-performance computing...

Yesterday was the official start to Think 2018, and can I just say: WOW!!! This completely new approach to IBM events is seriously blowing me away. Monday started with the OpenPOWER Summit. For those who are unfamiliar, the OpenPOWER Foundation is an open technical community based on IBM Power Systems architecture. Member companies like IBM, ...read more


Building a community around machine learning and AI

AI, IBM Systems Lab Services, Machine learning...

Community matters to machine learning Let’s be honest. Machine learning is a complicated space! Two minutes on Google looking into the topic is guaranteed to leave you more confused than when you started. So where can you find help from others who are working in this space? If you’ve ever thought “AI sounds pretty cool; ...read more


With IBM POWER9, we’re all riding the AI wave

AI, Big data & analytics, Modern data platforms...

There’s a big connection between my love for water sports and hardware design — both involve observing waves and planning several moves ahead. Four years ago, when we started sketching the POWER9™ chip from scratch, we saw an upsurge of modern workloads driven by artificial intelligence and massive data sets. We are now ready to ...read more