Today Cycle Computing announced that the HyperXite team is using CycleCloud software to manage Hyperloop simulations using ANSYS Fluent on the Azure Cloud. “Our mission is optimize and economize the transportation of the future and Cycle Computing has made that endeavor so much easier, said Nima Mohseni, Simulation Lead, HyperXite. “We absolutely require a solution that can compress and condense our timeline while providing the powerful computational results we require. Thank you to Cycle Computing for making a significant difference in our ability to complete our work.”
“Available on GitHub as Open Source, the Batch Shipyard toolkit enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure Batch enables you to run parallel jobs in the cloud without having to manage the infrastructure. It’s ideal for parametric sweeps, Deep Learning training with NVIDIA GPUs, and simulations using MPI and InfiniBand.”
“Billed as an exposition into ‘The Future of Cloud HPC Simulation,’ the event brought together experts in high-performance computing and simulation, cloud computing technologists, startup founders, and VC investors across the technology landscape. In addition to product demonstrations with Rescale engineers, including the popular Deep Learning workshop led by Mark Whitney, Rescale Director of Algorithms, booths featuring ANSYS, Microsoft Azure, Data Collective, and Microsoft Ventures offered interactive sessions for attendees.”
“UberCloud has created an entire cloud computing ecosystem for complex technical simulations, leveraging cloud infrastructure providers, developing and utilizing middleware container technology, and bringing on board established and proven application software providers, all for the benefit of a growing community of engineers and scientists that need to solve critical technical problems on demand,” said Roland Manger, co-founder and Partner at Earlybird. “While technical computing has been slow to adopt the benefits of the Cloud, we are convinced that UberCloud can be a catalyst for change.”
“CUDA C++ is just one of the ways you can create massively parallel applications with CUDA. It lets you use the powerful C++ programming language to develop high performance algorithms accelerated by thousands of parallel threads running on GPUs. Many developers have accelerated their computation- and bandwidth-hungry applications this way, including the libraries and frameworks that underpin the ongoing revolution in artificial intelligence known as Deep Learning.”
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.”