Mixing workloads rather than creating separate application domains is key to efficiency and productivity. Specific software is typically needed only in certain phases of product development, leaving systems idle the rest of the time. Download the insideHPC guide that explores how a powerful scheduling and resource management solution — such as Bright Cluster Manager — can slot other workloads into those idle clusters, thereby gaining maximum value from the hardware and software investment, and rewarding IT administrators with satisfied users.
AI and HPC: Inferencing, Platforms & Infrastructure
November 29, 2017 by
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.”
Exploring the OpenHPC Solution for HPC
November 28, 2017 by
To meet some of the biggest HPC software challenges, representatives from more than 25 academic, research, and commercial organizations formed a community project at the end of 2015: OpenHPC. This is the third article in a four-part series that explores going beyond OpenHPC with Intel HPC Orchestrator. Download the full insideHPC Special Report.
Advancing the Financial Services Industry Through Machine Learning
November 14, 2017 by Leave a Comment
As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. Download the new insideHPC guide that is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of machine learning, to those looking to expand and maximize its use.
An Overview of AI in the HPC Landscape
November 14, 2017 by
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
November 8, 2017 by Leave a Comment
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.
Challenges to Managing an HPC Software Stack
October 23, 2017 by
The HPC system software stack tends to be complicated, assembled out of a diverse mix of somewhat compatible open source and commercial components. This is the second article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges. Download the full insideHPC Special Report.
Simplifying HPC Software Stack Management
October 16, 2017 by
While most of the fundamental HPC system software building blocks are now open source, dealing with the sheer number of components and their inherently complex interdependencies has created a barrier to adoption of HPC for many organizations. This is the first article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges.
insideHPC Special Report: Intel HPC Orchestrator Solves HPC’s Software Challenges
September 13, 2017 by Leave a Comment
This InsideHPC Special Report explores the challenges of managing open source HPC middleware, and unpacks the unique solution offered by Intel HPC Orchestrator. Intel Orchestrator is the Intel-supported distribution of the OpenHPC stack that has been tested and validated on the most recent hardware. To learn more, download the full white paper.
Launch a Machine Learning Startup
August 11, 2017 by Leave a Comment
Launch a Machine Learning Startup – In this report, we’ll address everything from how to choose a framework and pick the tools you need to get started, to the questions you’ll be asking yourself, and the benefits of immersing yourself in the machine and deep learning communities. This report also untangles the jargon and explores what these terms actually mean. Download this special report now.
