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Choosing the Right Type of Cloud for HPC Lets Scientists Focus on Science

Naoki Shibata from XTREME-D writes that choosing the right type of cloud computing is key to increasing efficiency. “One challenge that HPC, DA, and DL end users face is to keep focused on their science and engineering and not get bogged down with system administration and platform details when ensuring that they have the clusters they need for their work. It has often been said that if scalable cluster computing can become more turnkey and user-friendly (and less costly), then the market will expand to many new areas.”

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.

Cloud and Enterprise Adopting HPC-proven CPU-based Interactive, Photorealistic Rendering

The TACC Frontera supercomputer, which will become the fastest academic supercomputer in the United States when it becomes operational in 2019, will rely on CPUs for visualization. “The ability to run and visualize anywhere with SDVis solutions, regardless of the scale of the visualization task and without requiring specialized hardware for interactive response, is the reason HPC centers no longer need to procure GPUs for visualization clusters.”

Democratizing High Performance Computing: HPC Clusters — When you Need Them, How You Need Them and Where You Need Them

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.  

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.”