Use standard HPC schedulers such as Slurm, PBS Pro, LSF, Grid Engine, and HTCondor, or extend CycleCloud autoscaling plugins to work with your own scheduler. The cloud native model example diagram below, shows how the workload in the cloud will handle everything while still conserving the connection to the on-premises environment.īatch APIs and tools and command-line scripts in the Azure portal (Cloud Native). ![]() Having the opportunity to run jobs in both workloads. In this Hybrid example diagram, we can see clearly how these services are distributed between the cloud and the on-premises environment. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries.Use your current job scheduler and applications without modification.Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting.Give admins full control over which users can run jobs, as well as where and at what cost.Orchestrate job, data, and cloud workflows.Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache.In Azure Batch all the services are running on the Cloud, the image below shows how the architecture looks with Azure Batch, having the scalability and job schedule configurations running in the Cloud while the results and reports can be sent to your on-premises environment.Īzure CycleCloud Provides the simplest way to manage HPC workloads using any scheduler (like Slurm, Grid Engine, HPC Pack, HTCondor, LSF, PBS Pro, or Symphony), on Azure SaaS providers or developers can use the Batch SDKs and tools to integrate HPC applications or container workloads with Azure, stage data to Azure, and build job execution pipelines. Azure Batch schedules compute-intensive work to run on a managed pool of virtual machines, and can automatically scale compute resources to meet the needs of your jobs. Azure Data Science VM for Windows and LinuxĪzure Batch is a platform service for running large-scale parallel and HPC applications efficiently in the cloud.There are many workload managers offered in the Azure Marketplace. Once network connectivity is securely established, you can start using cloud compute resources on-demand with the bursting capabilities of your existing workload manager. Implement a highly available and secure site-to-site network architecture that spans an Azure virtual network and an on-premises network connected using ExpressRoute with VPN gateway failover. From there, you can find additional information on these connectivity options: If you have an existing on-premises HPC system that you'd like to connect to Azure, there are several resources to help get you started.įirst, review the Options for connecting an on-premises network to Azure article in the documentation. ![]() Add high-performance storage for I/O-intensive workloads.Choose HPC and GPU VM sizes that include specialized hardware and network connections for MPI or GPU workloads. ![]()
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