Accelerate Artificial Intelligence Initiatives with DDN and NVIDIA at Any Scale

In this whitepaper, DDN and NVIDIA invited ESG to interview several of their joint customers that have been running production AI environments to better understand their needs and to confirm the value that DDN and NVIDIA are providing. ESG research sheds light on the rapid rise of AI initiatives among businesses, including how businesses are leveraging AI to create value. Business have been rapidly investing in AI and ML projects because they work.

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. This guide (i) provides an overview of the Fusion Computing Model; (ii) describes how Seagate Technology PLC (Seagate) and Intel Corporation technologies can meet fusion […]

Future of Data Visualisation and Agile Business Intelligence

The biggest trends we’ve seen in data over the past decade are; the sheer growth of data set sizes, coupled with the increasing complexity of analysis and data science, and the resultant realization of extremely dynamic, data-driven markets. This whitepaper sponsored by Brytlyt, focuses on these trends and how they’ve had several key impacts on the data analytics and visualization industry.

Brytlyt’s Accelerated Analytics – powered by GPU

This whitepaper discusses the analytics challenges businesses are facing today, and how the Brytlyt platform can transform how people uncover insight from their data.

insideHPC Guide to Perfectly Tailored AI, ML or HPC Environment

In this insideHPC technology guide, “How Expert Design Engineering and a Building Block Approach Can Give You a Perfectly Tailored AI, ML or HPC Environment,”we will present things to consider when building a customized supercomputer-in-a-box system with the help of experts from Silicon Mechanics. When considering a large complex system, such as a high-performance computing […]

BIG COMPUTE 2021 State of Cloud HPC Report

Rescale’s role as an intelligent cloud automation platform means the company has a unique vantage point of how R&D-driven organizations are adopting cloud. This inaugural report includes insights from over 300  organizations, running 680+ applications, on each of the major cloud providers. Additionally, the report  incorporates survey responses and analytics from leading HPC practitioners as well as inputs from supercomputing hardware and software partners.

Hybrid Cloud with Bright Cluster Manager

This whitepaper from our friends over at Bright Computing discusses how hybrid cloud infrastructures allow organizations to strategically manage their compute requirements from core data center to public cloud and edge, but they are very complex to build and manage. Automation is  essential, and verifying your staff’s abilities to work with your tool of choice is mandatory.

The Graphcore Second Generation IPU

Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper will explores the new platform and assess its strengths and weaknesses compared to the growing cadre of potential competitors.

10 Questions to Ask When Starting With AI

In this insideHPC Guide, our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

Things to Know When Assessing, Piloting, and Deploying GPUs

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new  environment’s required components, implementing a pilot program to learn about the system’s future  performance, and considering eventual scaling to production levels.