2.3 KiB
| title | date | categories | tags | ||
|---|---|---|---|---|---|
| New Whitepaper: HPC and HPDA for the Cognitive Journey with OpenPOWER | 2016-06-08 |
|
|
By Dr. Srini Chari, Managing Partner, Cabot Partners
I’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. In particular, we find the data-centric design of OpenPOWER systems to be uniquely suited to deliver on the next game-changing business opportunity – the convergence of HPC and Big Data Analytics across enterprise and research computing, coupled with the power of Deep Learning to derive the next level of value in today’s data-fueled economy.
Whether you’re a business striving to improve customer experience and loyalty or a research institution in pursuit of increasingly valuable results, adopting infrastructure designed to learn from its own information and return insightful, actionable results – a Cognitive infrastructure – will become the key to advancement. With real-world examples across multiple industries, we highlight the need for clients to evaluate systems based on performance of complete, data-driven workflows and show how adopting high-value offerings from the OpenPOWER Foundation featuring data-centric design can help lower costs and accelerate time-to-insight on your journey to becoming a Cognitive business.
Read the Executive Summary and download the full version here.
Dr. Srini Chari has over 30 years of experience in information technology and emerging computing technologies. His current focus areas include high performance computing, analytics and cloud computing. Prior to co-founding the IT Analyst firm Cabot Partners, Srini was President and CEO of TurboWorx, Inc., a bioinformatics software company providing workflow solutions for grids and clusters.