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Innovation Unbound: What Would You do with a Million Cores?

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

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.”

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.

SkyScale: GPU Cloud Computing with a Difference

In this guest post, Tim Miller, president of SkyScale, covers how GPU cloud computing is on the fast track to crossing the chasm to widespread adoption for HPC applications. “Two good examples of very different markets adopting GPU computing and where cloud usage makes sense are artificial intelligence and high quality rendering.”

Performance in the Datacenter

Many modern applications are being developed with so called run-time languages, which are compiled at execution time. The performance of these applications in cloud data centers is important for anyone considering moving their applications and workloads to the cloud. Download Intel Distribution for Python for free today to supercharge your applications.

Thinking about Colocation? Do These 7 Things First

While the merits of in-house vs. cloud vs. colo have been vigorously debated — and will likely continue for some time — a new report is aimed at those already sold on the colo concept. Download the white paper from Instor for considerations, tips and potential landmines to watch out for those looking to utilize colocation in 2018.  

Cloud Guide for HPC Computing

This white paper presents an evolutionary approach to cloud computing within a high-performance computing (HPC) context. The paper addresses the seamless and incremental process of moving from private/internal to public/external clouds, the realistic use cases, and the qualities needed in a vendor to get you there. This paper also compares several public cloud offerings and profiles a vendor who is enabling a range of cloud solutions for leading Fortune 500 companies.

Amazon EC2 Computing Cloud and High-Performance Computing

2013 has been an exciting year for the field of Statistics and Big Data, with the release of the new R version 3.0.0. We discuss a few topics in this area, providing toy examples and supporting code for configuring and using Amazon’s EC2 Computing Cloud. There are other ways to get the job done, of course. But we found it helpful to build the infrastructure on Amazon from scratch, and hope others might find it useful, too.