Blogs

By Michael Gschwind, Chief Engineer, Machine Learning and Deep Learning, IBM Systems open key new 5 I am pleased to announce a major update to the deep learning frameworks available for OpenPOWER as software “distros” (distributions) that are as easily installable as ever using the Ubuntu system installer.

By Ricardo Marin Matinata, Linux Architect, KVM and Cloud on POWER, IBM The initial version 0.5 (beta) of the OpenPOWER HostOS repository is available! As new OpenPOWER hardware features and servers are developed by multiple partners, it becomes a challenge to deploy them in an OS environment that...

By Amit Vij, CEO, Kinetica kinetica_plainCA_BLACKLETTERSTRANSPARENTBG-copy-2 At Kinetica (formerly GPUdb), we have experienced first-hand how the massive hardware acceleration improvements made possible by OpenPOWER can have truly transformational benefits for enterprises. We are in the business of helping customers uncover new business insights in real-time from massively growing volumes of data, often spanning IoT and other streaming data sources. We simply couldn’t solve our customer’s problems with traditional data technologies. OpenPOWER not only makes it possible to deliver massive data processing performance gains at a fraction of the cost, it also allows our customers to tackle brand new challenges and to make the world a better place for us all.

By Mike Gschwind, Chief Engineer, Machine Learning and Deep Learning, IBM Cognitive Applications have transformed the face of computing and how humans interact with computers. Some examples are driver-assistive technologies for enhanced road safety, personalized assistants like Siri and Google Now for improved productivity; and enhanced public security through advanced threat detection. Reflecting the increasing importance of cognitive applications, when we launched the OpenPOWER Developer Challenge earlier this month we included a competition around developing cognitive applications: the Cognitive Cup!

By Juliana Rodrigues, Student, Unicamp (This post appears as part of our Developer Series. To learn more about what developers are doing with OpenPOWER, visit the OpenPOWER Developer Challenge) I was about four years old when I got my first computer, but it wasn't until I was 13 that I had my first experience with Linux. I didn't have a CD drive at the time, so I did a Debian Etch net-install on a dial-up connection. It only took about four hours until I lost my connection and had to start over. After a few more hours and a lot of work, when I saw the login screen I felt like I was diving into a new world.

By Ludovica Delpiano, E4 Computing E4’s mission, to drive innovation by implementing and integrating cutting-edge solutions with the best performance for every high-end computing and storage requirement, is very much our focus for this year’s edition of ISC. We chose to showcase a number of systems at our booth, #914, based on one of the most advanced technologies available at the moment: accelerated POWER8 technology.

By Dr. Srini Chari, Managing Partner, Cabot Partners 5I’m pleased to announce the publication of Cabot Partners’ new Whitepaper, HPC and HPDA for the Cognitive Journey with OpenPOWER.  An update to last year’s Crossing the Performance CHASM with OpenPOWER, our latest analysis captures the progress and continuing momentum of the OpenPOWER Foundation and the evolution of its accelerated computing roadmap.

By Takashi Yoshikawa and Shinji Abe, NEC Corporation The Resource Disaggregated (RD) Platform expands the use of cloud data centers in not only office applications, but also high performance computing (HPC) with the ability to simultaneously handle multiple demands for data storage, networks, and numerical/graphics processes. The RD platform performs computation by allocating devices from a resource pool at the device level to scale up individual performance and functionality.

By Anil Godbole, Senior Marketing Manager, eASIC Corp.  eASIC is very excited to join the OpenPOWER Foundation. One of the biggest value propositions of the eASIC Platform is to offer an FPGA design flow combined with ASIC-like performance and up to 80% lower power consumption. This...