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Best Practices for Building, Deploying & Managing HPC Clusters

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

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

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

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

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

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

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. 

The New HPC

Addison Snell gave this talk at the Stanford HPC Conference. “Intersect360 Research returns with an annual deep dive into the trends, technologies and usage models that will be propelling the HPC community through 2017 and beyond. Emerging areas of focus and opportunities to expand will be explored along with insightful observations needed to support measurably positive decision making within your operations.”

Finding a Solution for Ai in Government

A new special report from insideHPC, courtesy of Dell EMC and NIVIDa explores current machine learning applications in government. And this excerpt breaks down solutions for AI in government, including Dell EMC Ready Solutions. Dell EMC Ready Solutions for AI are validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to 12 months.