hpc

See what IBM Power Systems can do for you at Think 2019

AI, Cloud computing, Deep learning...

The latest IBM Power Systems servers based on IBM POWER9 processors have accelerated the evolution of this robust, flexible and reliable platform. Perhaps your organization has used Power Systems servers for years to support mission-critical workloads, or it is making the move to Power Systems to drive new artificial intelligence (AI) or cloud initiatives. Either ...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


Introducing Spectrum Storage for AI with NVIDIA DGX for deep learning

AI, Cloud object storage, Deep learning...

Artificial intelligence, machine learning and deep learning projects are happening in every industry and research team across the globe. According to IDC[1], by 2019 40 percent of digital transformation initiatives will use AI services; by 2021, 75 percent of commercial enterprise apps will use AI, over 90 percent of consumers will interact with customer support ...read more


Accelerate AI projects with the right infrastructure (Part two)

AI, Big data & analytics, Deep learning...

Last week, I talked about how implementing AI solutions in your organization is a lot like climbing a ladder–going it alone can be risky, but a good AI infrastructure is like having a trustworthy friend to help steady your climb. In my view, a crucial piece of that infrastructure support is the IBM Power AI ...read more


IBM Spectrum LSF goes multicloud

AI, Cloud computing, High-performance computing...

IBM is moving swiftly to implement multicloud capabilities across both our IBM Spectrum Storage and IBM Spectrum Computing portfolios. In an important step for our high-performance computing (HPC) solutions, today we’re announcing the release of a deployment guide that facilitates the use of IBM Spectrum LSF Suite with Amazon Web Services (AWS). IBM Spectrum LSF ...read more


Supercomputing 2018: AI-enabled HPC

AI, High-performance computing, Power servers...

It’s that time of year: Supercomputing 2018 is upon us! Thousands of attendees will flock to the beautiful city of Dallas, Texas, home to good food and southern charm. They say everything is bigger in Texas, and this year IBM’s presence is big and AI’s role in HPC is even bigger. The IBM booth will ...read more


Top IBM Power Systems myths: Power has no cloud strategy

AI, Cloud computing, IBM Systems Lab Services...

There are many misconceptions about IBM Power Systems in the marketplace today, and this blog series is all about dispelling some of the top myths. “Power Systems has no cloud strategy” is a popular one and thus a good place to start. Why the confusion? Public cloud has garnered more industry attention than private or ...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


The fastest storage for the fastest system: Summit

AI, Cloud computing, High-performance computing...

This week in Frankfurt, Summit was crowned the “Fastest System in the World” in the biannual Top500 survey. The ORNL system is the most powerful, with over 200 petaflops of NVIDIA and IBM Power Systems compute, but it is much more. This is no ordinary system. It is purpose-built to use GPUs and excel on ...read more