This sponsored post from Amazon Web Services’ Bala Thekkedath unpacks how deploying HPC clusters in the cloud gives you the freedom to get started when you want, and with the resources you want.
Democratizing High Performance Computing: HPC Clusters — When you Need Them, How You Need Them and Where You Need Them
October 1, 2018 by Leave a Comment
Innovation Unbound: What Would You do with a Million Cores?
September 27, 2018 by Leave a Comment
In this sponsored post from Ian Colle, General Manager-AWS Batch and HPC, for Amazon Web Services, he explores how we are always looking for resources to “do everything we want to do.” What if the number of cores were virtually unlimited?
Imagine HPC with the Power of the Cloud
September 20, 2018 by Leave a Comment
Running HPC in the cloud enables organizations to select and deploy an optimal set of services for their unique applications, and to pay only for what they use. This sponsored post from AWS explores how the cloud HPC market is growing at a significant rate and accelerating HPC innovation. “With HPC in the cloud, computational scientists and commercial HPC users can gain rapid access to resources they need without a burdensome procurement process.”
A Guide to High Performance Computing in the AWS Cloud
September 11, 2018 by Leave a Comment
A new ebook from Intel and AWS explores how AWS cloud can mitigate some of today’s top HPC challenges and enable engineers and researchers to innovate without constraints. “Most HPC processing is still conducted using on-premises systems. But for those companies unwilling to invest in new hardware to handle peak demands, moving HPC workloads to the cloud may be the answer.”
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.
HPC Cloud Drives Innovation & Accelerates Time to Results
September 7, 2018 by 1 Comment
HPC applications and workloads have been constrained by limited on-premises infrastructure capacity, high capital expenditures and the constant need for technology refreshes. But there may be an answer: running your HPC workloads in the cloud. “According to the report, hundreds of companies in life sciences, financial services, manufacturing, energy and geo sciences, media and entertainment are solving complex challenges and speeding up time to results using HPC on AWS.”
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.
What would you do with a Million cores?
July 7, 2018 by Leave a Comment
Ian Colle from AWS gave this talk at the Univa Breakfast Briefing at ISC 2018. “To demonstrate the unique ability to run very large enterprise HPC clusters and workloads, Univa leveraged AWS to deploy 1,015,022 cores in a single Univa Grid Engine cluster to showcase the advantages of running large-scale electronic design automation (EDA) workloads in the cloud. The cluster was built in approximately 2.5 hours using Navops Launch automation and comprised more than 55,000 AWS instances in 3 availability zones, 16 different instance types and leveraged AWS Spot Fleet technology to maximize the rate at which Amazon EC2 hosts were launched while enabling capacity and costs to be managed according to policy.”
