Are you shopping for Public Cloud services? A new Public Cloud Services Comparison site gives a service & feature level mapping between the 3 major public clouds: Amazon Web Service, Microsoft Azure & Google Cloud. Published by Ilyas F, a Cloud Solution Architect at Xebia Group, the Public Cloud Services Comparison is a handy reference manual to help anyone to quickly learn the alternate features & services between clouds.
“Run your Windows and Linux HPC applications using high performance A8 and A9 compute instances on Azure, and take advantage of a backend network with MPI latency under 3 microseconds and non-blocking 32 Gbps throughput. This backend network includes remote direct memory access (RDMA) technology on Windows and Linux that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based upon what you need and pay only for what you use to reduce costs.”
In this podcast, Jason Stowe from Cycle Computing provides an update on the world of HPC in the Cloud. After that, he describes how the company is augmenting its software capabilities so that more users can take advantage of HPC for their toughest computing challenges. “Our CycleCloud V6 further optimizes what is already unique about its predecessor, bringing unmatched scalability, provisioning, and data management in a secure process. We are extremely pleased to bring V6 to market.”
Today BIOS IT announced plans for their exhibit at SC16 in Salt Lake City. BIOS IT is will be showcasing the latest HPC solutions and services, including their converged cloud platform in partnership with vScaler Ltd. “vScaler gives our clients the ability to deploy and manage HPC environments with on demand parallel file system creation within their own datacenters and when demand dictates, off-premise as well,” Ian Mellett, General Manager at BIOS IT comments.
In this video from the Microsoft Ignite Conference, Tejas Karmarkar describes how to run your HPC Simulations on Microsoft Azure – with UberCloud container technology. “High performance computing applications are some of the most challenging to run in the cloud due to requirements that can include fast processors, low-latency networking, parallel file systems, GPUs, and Linux. We show you how to run these engineering, research and scientific workloads in Microsoft Azure with performance equivalent to on-premises. We use customer case studies to illustrate the basic architecture and alternatives to help you get started with HPC in Azure.”
“We are still in the first minutes of the first day of the Intelligence revolution. In this keynote, Dr. Joseph Sirosh will present 5 solutions (and their implementations) that the intelligent cloud delivers. Sirosh shares five cloud AI patterns that his team and presented at the Summit. These five patterns are really about ways to bring data and learning together in cloud services, to infuse intelligence.”
Rick Wagner from SDSC presented this talk at the the 4th Annual MVAPICH User Group. “At SDSC, we have created a novel framework and infrastructure by providing virtual HPC clusters to projects using the NSF sponsored Comet supercomputer. Managing virtual clusters on Comet is similar to managing a bare-metal cluster in terms of processes and tools that are employed. This is beneficial because such processes and tools are familiar to cluster administrators.”
“Cycle Computing software leverages cloud resources to make computation in the cloud productive at any scale, by orchestrating workflows, managing data, balancing cloud options, and enabling users in a secure, controlled way. Our software works with public cloud providers like Amazon Web Services, Google Cloud Platform, and Microsoft Azure, as well as with internal and private cloud environments.”
The Intel Cloud Edition for Lustre* Software is now available on Microsoft’s Azure platform. Intel Cloud Edition for Lustre Software on Azure is a scalable, parallel file system designed as the working file system for HPC or other IO intensive workloads. Built for use with the virtualized compute instances available from Microsoft Azure scalable cloud infrastructure, it is designed for dynamic, pay-as-you-go applications.
flyelephantToday the FlyElephant announced a number of upgrades that allow users to work with private repositories with an improved system security and good task functionality. “FlyElephant is a platform for scientists, providing a computing infrastructure for calculations, helping to find partners for the collaboration on projects, and managing all data from one place. FlyElephant automates routine tasks and helps to focus on core research issues.”