Glyn Bowden from HPE gave this talk at the UK HPC Conference. “This presentation walks through HPE’s current view on AI applications, where it is driving outcomes and innovation, and where the challenges lay. We look at the eco-system that sits around an AI project and look at ways this can impact the success of the endeavor.”
The Convergence of HPC and AI Workloads Requires Flexibility and Performance
June 11, 2019 by Leave a Comment
Finding the best solution to meet the requirements for intertwined HPC and AI workloads requires us tolook at the overall platform benefits versus the benefits of individual technologies. With exascale on the horizon, the blending of HPC and AI algorithms, and ever-increasing data sets, having an overall robust platform is more important than ever. Intel makes the case for HPC and AI to share a common platform.
Best Practices for Building, Deploying & Managing HPC Clusters
April 16, 2019 by Leave a Comment
In today’s markets, a successful HPC cluster can be a formidable competitive advantage. And many are turning to these tools to stay competitive in the HPC market. That said, these systems are inherently very complex, and have to be built, deployed and managed properly to realize their full potential. A new report from Bright Computing explore best practices for HPC clusters.
Five Essential Strategies for Successful HPC Clusters
Successful HPC clusters are powerful assets for an organization. However, these systems are complex and must be built and managed properly to realize their potential. If not done properly, your ability to meet implementation deadlines, quickly identify and resolve problems, perform updates and maintenance, accommodate new application requirements and adopt strategic new technologies will be jeopardized. Download the new white paper from Bright Computing that explores key strategies for HPC clusters.
AI Critical Measures: Time to Value and Insights
March 19, 2019 by Leave a Comment
AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights. Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering.
Exploring Today’s AI Resources — A Portal to a Growing Sector
March 5, 2019 by Leave a Comment
When Accenture Federal Services researched how current AI technologies could be used by the U.S. federal government, Accenture documented nearly 100 use cases for AI adoption. Artificial intelligence is making a difference to government right now. For more information on how to get involved in this important and growing sector, take advantage of the resources outlined in this excerpt from an insideHPC Guide.
Intel High-Performance Python Extends to Machine Learning and Data Analytics
February 26, 2019 by Leave a Comment
One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for Python, included in Intel® Parallel Studio XE 2019, the numerical and scientific computing capabilities of high-performance Python now extends to machine learning and data analytics.
Augmenting & Automating Operations in Government
February 26, 2019 by Leave a Comment
The Air Force’s top training official said it is moving toward a new “paradigm” for how it teaches airmen to fly airplanes. A new special report from insideHPC, courtesy of Dell EMC and NIVIDA, explores current machine learning applications in government. This excerpt covers recent research on the potential of AI technology in the U.S. Federal government, as well as how government AI is being used in U.S.Air Force pilot training strategies.
Making Computer Vision Real Today – For Any Application
February 25, 2019 by Leave a Comment
With the demand for intelligent vision solutions increasing everywhere from edge to cloud, enterprises of every type are demanding visually-enabled – and intelligent – applications. Up till now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance. That’s changed with the introduction of Intel’s Distribution of OpenVINO toolkit.
Advancement in AI & Machine Learning Calls For New HPC Solutions
February 21, 2019 by Leave a Comment
High performance computing has gone through numerous shifts in the past few years. The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. A new report from Lenovo explores the intersection of HPC and AI, as well tips on how to choose the right HPC provider for your enterprise.
