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AI Hardware to Support the Artificial Intelligence Software Ecosystem

Balance ratios are key to understanding the plethora of AI hardware solutions that are being developed or are soon to become available. This post from an insideHPC Special Report explores AI hardware options to support the growing artificial intelligence software ecosystem. 

AI Software: Understanding the Rapidly Expanding Ecosystem

The hardware and software for AI devices is rapidly evolving, so it is important to procure wisely for the future without incurring technology or vendor lock in. This post from an insideHPC Special Report focuses on AI software and how to best use and understand this rapidly expanding ecosystem. 

AI Systems Designed to Learn in a Limited Information Environment

In a special report, Intel offers details on use cases that explore AI systems and those designed to learn in a limited information environment. “AI systems that can compete against and beat humans in limited information games have great potential, because so many activities between humans happen in the context of limited information such as financial trading and negotiations and even the much simpler task of buying a home.”

AI Technology: The Answer to Diffusion Compartment Imaging Challenges

Use cases show AI technology, like what’s used in an optimized Diffusion Compartment Imaging (DCI) technique, is growing the potential of HPC computing. AI is thought to be a solution to many of DCI’s challenges. “A complete Diffusion Compartment Imaging study can now be completed in 16 minutes on a workstation, which means Diffusion Compartment Imaging can now be used in emergency situations, in a clinical setting, and to evaluate the efficacy of treatment. Even better, higher resolution images can be produced because the optimized code scales.”

AI and HPC: Inferencing, Platforms & Infrastructure

The popularity of “better than human” classification on tasks that people do well (such as recognizing faces, Internet image search, self-driving cars, etcetera) has reached a mass audience. “What has been lacking is coverage that machine learning is also fantastic at performing tasks that humans tend to do poorly.”

Video: HPE Showcases Innovation for HPC at SC17

In this video, Bill Mannel gives a booth tour that highlights some of the amazing HPC innovations on display in the HPE booth at SC17. “HPE’s first ARM-based HPC system brings more choice and flexibility to HPC customers. The Apollo 70, using Cavium’s 64-bit ARMv8-A ThunderX2 Server Processor, is purpose-built for memory intensive HPC workloads and delivers up to 33 percent more memory bandwidth than today’s industry standard servers.”

An Overview of AI in the HPC Landscape

The demand for performant and scalable AI solutions has stimulated a convergence of science, algorithm development, and affordable technologies to create a software ecosystem designed to support the data scientist. “It is very important to understand that time-to-model and the accuracy of the resulting model are really the only performance metrics that matter when training because the goal is to quickly develop a model that represents the training data with high accuracy.”

insideHPC Special Report: AI-HPC is Happening Now

HPC and the data driven AI communities are converging as they are arguably running the same types of data and compute intensive workloads on HPC hardware, be it on a leadership class supercomputer, small institutional cluster, or in the cloud. Download the insideHPC Special Report, brought to you by Intel, to learn more about AI-HPC and how today’s businesses are using this technology.

There is still time to participate in our HPC & AI Survey

There is still time to participate in our insideHPC Survey on the intersection HPC & AI. In return, we’ll send you a free report with the results and enter your name in a drawing to win one of two Echo Show devices with Alexa technology. “The Smart Home is here today. With the Echo Show, you can use your own voice to control a wide array of smart connected devices.”