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Using Converged HPC Clusters to Combine HPC, AI, and HPDA Workloads

Many organizations follow an old trend to adopt AI and HPDA as distinct entities which leads to underutilization of their clusters. To avoid this, clusters can be converged to save (or potentially eliminate) capital expenditures and reduce OPEX costs. This sponsored post from Intel’s Esther Baldwin, AI Strategist, explores how organizations are using converged HPC to combine HPC, AI, and HPDA workloads.

Intel’s AI Lab Presents Several Ground-breaking Research Papers

Researchers at Intel’s AI Lab recently presented several compelling research papers at the International Conference on Machine Learning (ICML) (June 10-15) and the Conference on Computer Vision and Pattern Recognition (CVPR) June 16-20.

Intel IT Serves Up Innovative Applications of AI, Analytics and Collaboration

One telling sign that AI industry leading companies truly believe in the technologies they promoting across the globe is how much they’re using these same technologies internally. An excellent case-in-point is Intel IT, the IT services arm of giant Intel Corp.

Redis Labs Delivers the Fastest Multi-Model Database on Intel® Optane™ DC Persistent Memory

Redis Labs, the home of Redis and provider of Redis Enterprise, announced that Redis Enterprise is now available for Intel® Optane™ DC persistent memory across multiple cloud services or as downloadable software for supported hardware from companies participating in Intel’s hardware beta program.

Exploring the Convergence of AI, Data and HPC

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. A special insideHPC report explores how 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.

New Cray Artificial Intelligence Initiatives to Advance Deep Learning for Science and Enterprise

Cray Inc. (Nasdaq:CRAY) announced a comprehensive set of Artificial Intelligence (AI) products and programs that will empower customers to learn, start, and scale their deep learning initiatives. As AI and deep learning continue to transform entire industries and scientific disciplines, Cray is leveraging its supercomputing expertise, technologies, and best practices to advance the adoption of deep learning.

Intel’s New Processors: A Machine-learning Perspective

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk by Dr. Amitai Armon, Chief Data-Scientist of Intel’s Advanced Analytics department, at the O’reilly Artificial Intelligence conference, New-York, September 27 2016, focused on the usage of Intel’s new server processors for various machine learning tasks as well as considerations in choosing and matching processors for specific machine learning tasks.

Building Fast Data Compression Code for Cloud and Edge Applications

Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In this article, we’ll discuss the data compression functions and the latest improvements in the Intel® Integrated Performance Primitives (Intel® IPP) library.

Solutions for Autonomous Driving – From Car to Cloud

From car to cloud―and the connectivity in between―there is a need for automated driving solutions that include high-performance platforms, software development tools, and robust technologies for the data center. With Intel GO automotive driving solutions, Intel brings its deep expertise in computing, connectivity, and the cloud to the automotive industry.

Intel® Parallel Studio XE Helps Developers Take their HPC, Enterprise, and Cloud Applications to the Max

Intel® Parallel Studio XE is a comprehensive suite of development tools that make it fast and easy to build modern code that gets every last ounce of performance out of the newest Intel® processors. This tool-packed suite simplifies creating code with the latest techniques in vectorization, multi- threading, multi-node, and memory optimization.