Azure provides on-demand compute resources that enable you to run large parallel and batch compute jobs in the cloud. Extend your on-premises HPC cluster to the cloud when you need more capacity, or run work entirely in Azure. Scale easily and take advantage of advanced networking features such as RDMA to run true HPC applications using MPI to get the results you want, when you need them.
Azure Batch provides job scheduling and auto-scaling of compute resources as a platform service, making it easy to run large-scale parallel and HPC applications in the cloud. By using the Batch SDKs and Batch service, you can configure one or more applications to run on demand or on a schedule across a pool of VMs. Describe how the data should be distributed, what parameters to use for each task, and the command line to get started. Azure Batch handles both scale and scheduling, managing the execution as a whole.Learn more about Azure Batch
The performance and scalability of a world-class supercomputing center is now available to everyone, on demand in the cloud. Run your 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 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.
Similar to the A8 and A9 Virtual Machine instances, A10 and A11 instances feature faster processors, more virtual cores for higher compute power, and larger amounts of memory. These instances are carefully configured to achieve the best possible performance when running workloads such as financial modeling, media encoding, video and image rendering, and smaller computer-aided engineering (CAE) models. A10 instances have 8 virtual cores and 56 GB of memory, while A11 instances have 16 virtual cores and 112 GB of memory. They offer more options for customers who do not require the InfiniBand networking capability that comes with the A8 and A9 instances.Try them out today to experience firsthand the performance of A10 and A11 instances.
With Microsoft HPC Pack you can deploy an on-premises Windows compute cluster and dynamically extend to Azure when you need additional capacity. You can also use HPC Pack to deploy a cluster entirely on Azure and connect to it over a VPN or the Internet. Do all this without compromising performance thanks to a wide range of compute options, including memory intensive and compute intensive instances. Get started today!Build a high performance cluster by spinning up compute resources on demand
Take advantage of a wide range of Linux and Windows applications, libraries, and tools from independent software vendors with solutions across industries such as financial services, engineering, oil and gas, life sciences, and digital content creation. Your existing cluster manager and job scheduler can work with Azure Virtual Machines. Microsoft partners including Excelian, Cycle Computing, Techila, Rescale, Fixstars, and Nimbo can help make the cloud work for you.
When accuracy, rapid decision making, and costs count, financial services firms use Azure to meet the business needs of actuaries, traders, enterprise risk managers, chief financial officers, and corporate treasuries. Whether the compute workload readily scales out or is computationally intensive, Azure and Microsoft HPC Pack help you get the work done faster and efficiently.
Increase your productivity by running your computational fluid dynamics, structural analysis, finite element analysis, crash modeling and other computer aided engineering simulations in the cloud. With true HPC capabilities available on Azure, you can now take advantage of the scale and flexibility that the cloud brings to organizations of all sizes. Azure can help you and your team to introduce new, high-quality products to market, while controlling costs within compressed development times.
The ability to store and analyze enormous volumes of data is critical to researchers around the world. Although technological advances enable researchers to store and process ever-larger data stores, there are still challenges. CPU and storage limitations can hinder researchers, particularly those dealing with enormous volumes of information. With Azure, you have the ability to massively scale on demand and only pay for the time used, opening up tremendous new research opportunities.
Azure helped the Wellcome Trust complete 125 compute years of work in just a few days. Read the case study