Each day, data scientists around the world are using artificial intelligence (AI) and high performance computing (HPC) to solve complex challenges and create new business value from data. Whether they are training a chatbot to provide better customer service, creating reservoir simulations for new oil fields or teaching autonomous cars to mind the rules of […]
We’re at an inflection point in the computer industry. Today’s iPhones hold more processing power than the best Apollo-era computers. Moore’s Law tells us that the number of transistors on integrated circuits doubles every two years. We hold an unprecedented amount of computing power at our fingertips, and it’s still growing at an exponential rate. […]
When you look at the rapidly evolving infrastructure as a service (IaaS) market, you might get the impression that it’s a race to the bottom with commodity hardware, inexpensive storage options, ongoing price cuts and the like. If a cloud service provider can’t differentiate itself, things can get very ugly. That’s why one of the […]
In recent years, an abundance of data has presented new challenges to companies. Increasingly, they’ve been turning to high-performance computing (HPC) to tackle these challenges. HPC is the process of aggregating computing power to accelerate system performance to solve large computation problems in science, engineering or business. The infrastructure for high-performance computing can be costly, […]
High-performance computing (HPC) has always been seen as a dedicated, on-premises computing environment. Now with a flexible and powerful cloud infrastructure, IBM SoftLayer can change the game and make HPC in cloud a valuable option. In the last few weeks, I discussed this topic with multiple customers, so I wanted to share the five main […]
I was recently asked to participate in a few HPC cloud projects which brought me back to my HPC cluster days.
The big question is: Is it practical to run HPC computing in a cloud environment?
This month's #cloudchat featured moderator Cade Metz of Wired Enterprise, and panelists Addison Snell of Intersect360, Ram Rajamony of IBM Research, Dan Kuznetsky of Kuznetsky Group, LLC, and Walter Falk of IBM.
Today, we are used to speaking about desktop or test clouds, or maybe moving our email or CRM to cloud-based solutions. What do all these workloads have in common? They have some of the main characteristics to be a good candidate for cloud computing, but beyond that, they all are related to enterprise workloads with low or non-predictable demand for computing resources, do not generate a significant amount of data during application run, and are loosely coupled to the infrastructure.