ABOUT THE SERIES

The Bright SpotlightON: Podcast Series features Bright executives and partners showcasing today’s latest trends in HPC.

The podcasts will focus on a combination of Bright Partner initiatives, offerings, and technologies that are enabling the deployment of full-scale HPC, AI, Cloud, and Data Analytics solutions across industries.

To download any of our podcasts, please fill out the form to the right.

Available Podcasts:

What are the Advantages of Running Machine Learning / Deep Learning Frameworks on Bare Metal Versus in Containers?

All of the ML/DL framework providers offer their tools in containers. Only Bright for Data Science provides them on bare metal. In this 15-minute fireside chat, Bright and Dell will discuss the advantages and disadvantages of both approaches.

Speakers: Robert Stober, Director Product Management at Bright Computing, and  Adnan Khaleel, Global Sales Strategist – HPC, Artificial Intelligence and Deep Learning at Dell EMC


Intel Select Solutions with Bright Cluster Manager

Intel Select Solutions are designed for productivity, compatibility, and workload-optimized performance across a broad range of traditional HPC applications. Using Bright Cluster Manager, customers and partners are able to leverage the productivity and flexibility of Bright’s powerful cluster management technology to quickly configure and deploy Intel Select Solutions, and as a result, enjoy the compatibility and performance of Intel while simultaneously gaining the ease of use of Bright. Download this 15-minute fireside chat to find out more about the Bright Intel partnership.

Speakers: Lee Carter, VP Worldwide Alliances at Bright Computing, and Werner Krotz-Vogel, Technical Consulting Engineer at Intel


Change the Way You Use Containers with Sylabs and Bright

Sylabs provides high-performance container technology that enhances enterprise performance computing by building containers that support HPC, analytics, artificial intelligence, machine learning, and deep learning. Couple this with the power of Bright cluster and cloud infrastructure automation software and you have a winning formula for organizations who wish to get the most from their HPC environment.

Speakers: John Corne, Senior Pre-Sales Engineer at Bright Computing, and Eduardo Arango, Software Engineer at Sylabs


Coming Soon: 

Accelerating Application Runtime of Your Cluster with Bright and BeeGFS 

BeeGFS is a highly respected and popular parallel file system, used by many Bright customers. Bright seamlessly integrates with BeeGFS and reports on the performance and health of BeeGFS in BrightView, our central management console. Download this 15-minute fireside chat, Bright and BeeGFS will explain how our two companies offer a compelling solution for our customers around the world.

Speakers: John Corne, Senior Pre-Sales Engineer at Bright Computing, and Marco Merkel, VP WW Sales and Consulting at ThinkParQ


Building your AI Data Center with DGX Reference Architectures

NVIDIA DGX servers managed by Bright Cluster Manager deliver the perfect balance of increased concurrency for handling data science workloads, the massive compute requirements associated with those workloads, and the seamless management of all resources across the HPC cluster. Download this 15-minute fireside chat to learn more about the power behind this partnership.

Speakers: Lee Carter, VP Worldwide Alliances at Bright Computing, and Carlo Ruiz, Head of EMEA AI Data Center Solutions, at NVIDIA


 

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Bright Spotlighton: Podcasts

CLIENT TESTIMONIALS
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Intel Technical Computing Group

“Bright Computing, with their Bright Cluster Manager, significantly accelerated deployment of the Cherry Creek cluster by providing unified software management for both Intel Xeon processors and Intel Xeon Phi coprocessors.”

HUGO SALEH
Director of Marketing, Intel Computing Group
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NVIDIA

“Bright Cluster Manager provides a comprehensive solution for installation and configuration of accelerated clusters and the robust ecosystem of third-party supporting tools.”

DUNCAN POOLE
Strategic Alliances Manager for Accelerated Computing, NVIDIA