Sign up for our newsletter and get the latest big data news and analysis.
Daily
Weekly

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.

Modern HPC and Big Data Design Strategies for Data Centers

This insideHPC Special Research Report provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions  available for organizations and enterprise customers.

Unleash the Future of Innovation with HPC & AI

This whitepaper reviews how cutting-edge solutions from Supermicro and NVIDIA are enabling customers to transform and capitalize on HPC and AI innovation. Data is the driving force for success in the global marketplace. Data volumes are erupting in size and complexity as organizations work to collect, analyze, and derive intelligence from a growing number of sources and devices. These workloads are critical to powering applications that translate insight into business value.

Deep Learning GPU Cluster

In this whitepaper, our friends over at Lambda walk you through the Lambda Echelon multi-node cluster reference design: a node design, a rack design, and an entire cluster level architecture. This document is for technical decision-makers and engineers. You’ll learn about the Echelon’s compute, storage, networking,  power distribution, and thermal design. This is not a cluster administration handbook, this is a high level technical overview of one possible system architecture.