Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideHPC special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry.
Reinventing the Retail Industry Through Machine and Deep Learning
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.
insideHPC Special Report: Intel HPC Orchestrator Solves HPC’s Software Challenges
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
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.
insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning
AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.
HPC Moves to the Cloud – What You Need to Know
While some domains that rely on computing systems are satisfied with the performance gains that are continuously delivered from processor manufacturers, others require performance that can only be attained through massive parallelism. High-performance computing is for those that need the highest performance in order to solve many of today’s most difficult scientific challenges.
insideBIGDATA Guide to Use of Big Data on an Industrial Scale
In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.
insideHPC Special Report: A Trusted Approach for High Performance Networking
The high performance networking interconnect landscape is in transition. InfiniBand and Intel Omni-Path will compete for the performance crown, while Ethernet will remain the ubiquitous standard for commercially oriented systems.
insideHPC Research Report on In-Memory Computing
To achieve high performance, modern computer systems rely on two basic methodologies to scale resources. A scale-up design that allows multiple cores to share a large global pool of memory and a scale-out design design that distributes data sets across the memory on separate host systems in a computing cluster. To learn more about In-Memory computing download this guide from IHPC and SGI.
insideHPC Research Report Are FPGAs the answer to the “Compute Gap?”
With the deluge of new data from new sources, it isn’t surprising to find that data centers are running short on compute capacity. In this research report, we explore the world of accelerators, primarily FPGAs, to see if they’re the right answer to fill
the ‘compute gap’.