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Adrian Cockcroft on how AWS Gives Superpowers to Startups

In this video from AWS Summit in Tel Aviv, Adrian Cockcroft describes how AWS gives Superpowers to Startups. “AWS offers low cost, on-demand IT solutions to help you build and launch your applications quickly and easily with minimum costs. With no upfront investments and a pay-as-you-go price model, you only pay for what you use, when you use it, to build your minimum viable product (MVP), experiment and iterate, all at low cost.”

Moving Toward the Cloud & Seamless HPC

This is the fifth and final entry in an insideHPC series that explores the HPC transition to the cloud and how this move can help create seamless HPC. This series, compiled in a complete Guide, covers cloud computing for HPC, why the OS is important, OpenStack fundamentals and more.

SC17 Invited Talk Preview: High Performance Machine Learning

Over at the SC17 Blog, Brian Ban begins his series of SC17 Session Previews with a look at a talk on High Performance Big Data. “Deep learning, using GPU clusters, is a clear example but many Machine Learning algorithms also need iteration, and HPC communication and optimizations.”

Unlike Oil and Water, Legacy and Cloud Mix Well

Despite the cloud hype, legacy HPC apps are alive and well. While it may seem like they can’t mix, the process of bursting these applications to the cloud is bringing these staples to cloud table. Avoiding rewrites can efficiently bring immediate HPC cloud benefits to organizations big and small. “Many technologies and solutions now available allow for the functional and highly efficient coordination and connection between legacy applications and the well-known advantages of the cloud.”

Gabriel Broner on Why Cloud is the Next Disruption in HPC

“Like the previous disruptions of clusters vs. monolithic systems or Linux vs. proprietary operating systems, cloud changes the status quo, takes us out of our comfort zone, and gives us a sense of lack of control. But the effect of price, the flexibility to dynamically change your system size and choose the best architecture for the job, the availability of applications, the ability to select system cost based on the needs of a particular workload, and the ability to provision and run immediately, will prove very attractive for HPC users.”

Video: Customers Leverage HPE & Intel Alliance for HPC

“Meeting the Enterprise Challenges of HPC System developers and users face obstacles deploying complex new HPC technologies, such as: energy efficiency, reliability and resiliency requirements, or developing software to exploit HPC hardware. All can delay HPC adoption. But the HPC Alliance will help. HPE and Intel will collaborate with you on workstream integration, solution sizing and software-to-hardware integration. We will help, whether you seek ease of everything, to mix workloads, or have fast-growing, increasingly complex systems.”

Video: Deep Learning on Azure with GPUs

In this video, you’ll learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters. “Previously, few people had access to the computing power for these scenarios. With Azure Batch, that power is available to you when you need it.”

Video: HPC Reservoir Simulations on AWS with NICE

In this video, Scott Harrison from Rock Flow Dynamics and Bruno Franzini from NICE Software explain how they scale HPC workloads in the cloud. “You’ll learn how they leverage Amazon EC2 Spot instances and Amazon S3 to create cost-effective, scalable clusters that power tNavigator, Rock Flow Dynamics’ solution for running dynamic reservoir simulations. You’ll also see how they use NICE Software’s DCV to stream the OpenGL-based user interface to interact with 3D models.”

Microsoft Acquires Cycle Computing

Today Microsoft announced it has acquired Cycle Computing, a software company focused on making cloud computing resources more readily available for HPC workloads. “Now supporting InfiniBand and accelerated GPU computing, Microsoft Azure looks to be a perfect home for Cycle Computing, which started its journey with software for aggregating compute resources at AWS. The company later added similar capabilities for Azure and Google Cloud.”

Rescale to Enable Fast and Secure Data Transfer to the Cloud with Equinix

“Although many enterprises have already made the move to cloud for certain data services, many are reluctant to make the move for one of their largest investments: on-premise, high-performance computing,” said Tyler Smith, Head of Partnerships at Rescale. “Rescale helps ease the migration process with a hybrid and burst solution, making best use of existing and cloud resources in tandem, and the partnership with Equinix adds a compelling layer of ultra high-speed data transfer and best-in-class security, while allowing the enterprise to keep their preferred private/public cloud model.”