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How Intel is Driving the Convergence of HPC & Ai

“The emerging AI community on HPC infrastructure is critical to achieving the vision of AI,” said Pradeep Dubey, Intel Fellow. “Machines that don’t just crunch numbers, but help us make better and more informed complex decisions. Scalability is the key to AI-HPC so scientists can address the big compute, big data challenges facing them and to make sense from the wealth of measured and modeled or simulated data that is now available to them.”

Architectural Considerations for AI Workloads in Technical Computing

New workloads in machine learning and analytics have placed significant burdens on traditional HPC systems. This guest post explores how HPE, Intel and WekaIO are working together to solve potential I/O bottlenecks in machine learning and AI workloads. 

Dell EMC Accelerates Artificial Intelligence Adoption for Digital Transformation

Today Dell EMC announced new Ready Solutions for AI. With specialized designs for Machine Learning with Hadoop and Deep Learning with NVIDIA, the Dell EMC Ready Solutions simplify AI environments, deliver faster, deeper insights than the competition1, and leverage Dell EMC’s proven expertise to help organizations realize the full potential of AI. “What we’re announcing today allows customers at any scale to start seeing better business outcomes and positions them for AI’s increasingly important role in the future.”

SC18 Preview: Bryan Catanzaro on “Applying Deep Learning”

SC18 is starting their series of Invited Talk Previews this week with AI luminary Bryan Catanzaro. Now at NVIDIA, Catanzaro is one of the most respected (and entertaining) speakers in the field of Machine Learning. “I will discuss how we go about applying deep learning to our work at NVIDIA, solving problems in a variety of domains from graphics and vision to text and speech. I’ll discuss the properties of successful machine learning applications, the criteria that we use to choose projects, and things to watch out for while creating new deep learning applications. I’ll discuss the role of HPC in helping us conduct our research, and I’ll show some examples of projects that benefit from scale.”

How AI & Machine Intelligence is Assisting Clinicians

According to a new Ovum white paper, sponsored by NVIDIA, there is a huge opportunity to help physicians with AI-based systems that can cut down on the workload across protocoling, imaging analysis, and automated reporting of the results.

How Dell EMC is Moving Forward as Thought Leader in AI

“Dell EMC Ready Solutions for AI are validated, hardware and software stacks optimized to accelerate AI initiatives, shortening deployment time from weeks to days. They increase data scientist productivity by offering self‐service workspaces, allowing each data scientist to configure their environment from a library of AI models and frameworks in just five clicks. Customers report that Dell EMC Hadoop solutions can help boost data scientist productivity by as much as 30 percent. IT operations are also simplified through a single console for monitoring the health and configuration of the cluster.”

Enhancing Diagnostic Quality and Productivity with AI

This report delves into many advances in clinical imaging being introduced through AI. The activity today is mostly focused on working with the current computational environment that exists in the radiologist’s laboratory, and examines how advanced medical instruments and software solutions that incorporate AI can augment a radiologist’s work. Download the new white paper from NVIDIA that explores increasing productivity with AI and how tools like deep learning can enhance offerings and cut down on cost. 

NVIDIA Offers Framework to Solve AI System Challenges

At the recent NVIDIA GPU Technology Conference (GTC) 2018, Jensen Huang, NVIDIA President and CEO, during his presentation focused on a new framework designed to contextualize the key challenges using AI systems and delivering deep learning-based solutions. A new white paper sponsored by NVIDIA outlines these requirements — coined PLASTER.

Video Highlights from ISC 2018

In this video, Steve Conway from Hyperion Research provides a summary of the ISC High Performance Conference in Frankfurt, Germany. “The ISC High Performance conference attracted 3,505 attendees from over 60 countries, as well as 162 companies and research organizations to unveil their latest technologies and services at the event. With this feat, ISC High Performance has officially reached a new milestone in its 33-year conference history.”

Determining Where & How to Adopt Machine Learning Technology

The is the final entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on for help determining where and how to adopt machine learning technology in your business.