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Point and Click HPC: The XTREME-Stargate laaS Platform

XTREME-D’s next step in offering seamless HPC/DA/DL computing is the XTREME-Stargate gateway platform, or cluster portal. This on-prem device acts as a cluster “head node” and provides secure and fast access to bare-metal clusters that are configured using enhanced XTREME-DNA technology. Download the full paper to learn more about how XTREME-Stargate offers a “super head node” for HPC cloud clusters.

Revolutionizing the Media and Entertainment Industry through Artificial Intelligence

From the creative process behind the scenes, to content delivery and audience engagement, artificial intelligence is having a profound effect on the media and entertainment industry. Download the new insideHPC guide, brought to you by Dell EMC and Nvidia, to learn more about how AI is revolutionizing this sector.

Innovation on Demand

Get your results to market faster, simplify operations, and save money with flexible, configurable AWS HPC solutions that are proven to drive results for companies large and small in nearly every industry. Download the eBook to learn more.

Innovation Without Limits — Your Guide to High Performance Computing in the Cloud

With flexible, unhindered access to Intel® Xeon®-powered compute instances and an array of Intel®-optimized software libraries available through the AWS Marketplace, your engineers and researchers can rapidly produce high-value answers to complex questions. Download the new eBook from Intel, and discover how enterprises and research institutions are maximizing productivity and saving on costs by moving their HPC workloads to AWS.

Five Reasons to Run Your HPC Applications in The Cloud

In this new infographic from Intel, you’ll see examples of successful, real-world HPC deployments on virtually unlimited, Intel® Xeon® technology-powered AWS compute instances that provide scalability and agility not attainable on-premises. Download the new report to discover how to innovate without limits, reduce costs, and get your results to market faster by moving your HPC workloads to AWS.

High Performance Computing with Intel and AWS

AWS and Intel allow your engineers and scientists to innovate and accelerate results on virtually unlimited HPC infrastructure. Download the new solution brief from Intel that offers an overview of the AWS-Intel HPC solution and how it can help your teams collaborate securely.

Virtualizing HPC Throughput Computing Environments

This pioneering study focuses primarily on the virtual performance of throughput workloads. Download the new white paper from VMWare that explores the possibilities of virtualizing HPC throughput in computing environments. 

Improving Speed, Scalability and the Customer Experience with In-Memory Data Grids

Over the last decade, the new anytime, anywhere, personalized experience has driven query and transaction volumes up 10 to 1000x. It has created 50x more data about customers, products, and interactions. It has also shrunk the response times customers expect from days or hours to seconds or less. Download the new report from GridGain to learn how in-memory computing and in-memory data grids are tackling today’s data storage challenges. 

Enhancing Diagnostic Quality and Productivity with AI

This report delves into many advances in clinical imaging being introduced through AI. The activity today is mostly focused on working with the current computational environment that exists in the radiologist’s laboratory, and examines how advanced medical instruments and software solutions that incorporate AI can augment a radiologist’s work. Download the new white paper from NVIDIA that explores increasing productivity with AI and how tools like deep learning can enhance offerings and cut down on cost. 

PLASTER: A Framework for Deep Learning Performance

Both hardware and software advances in deep learning (DL), a type of ML, appear to be catalysts for the early stages of a phenomenal AI growth trend. Download the new white paper from NVIDIA that addresses the challenges described in PLASTER, which is important in any  deep learning solution, and it is especially useful for developing and delivering the inference engines underpinning AI-based services.