Transition custom image pools use images from Azure Compute Gallery
Migrate your Batch workloads before 31 March 2026 to other regions where Azure Batch will continue to be available.
Remove references in your autoscale formula for the service-defined variables
Transition Batch pools to the Simplified compute node communication model
Retirement Notice: Transition to Azure Key Vault before 29 February 2024.
Retirement notice: Transition to Simplified compute node communication pools without public IP addresses by 31 March 2023
Retirement Notice: Transition to Azure Batch Spot VMs before 30 September 2025.
Retirement Notice: Stop using Batch Job/Pool Lifetime Statistics API by 30 April 2023.
Retirement notice: Transition to Azure Batch TLS 1.2 by 31 March 2023.
Several new pool and security features are now generally available.
Take advantage of VM sizes that are now available when creating your Batch pools.
Take advantage of new VM sizes that are now available when creating your Batch pools, including the latest HPC and GPU sizes.
Azure Batching rendering VM images & licensing are being retired.
Transition to Azure Batch Virtual Machine pool configuration by 29 February 2024.
The vCPU quota checks that are performed during pool operations are being updated to check the dedicated VM series vCPU quotas, in addition to the Batch account total dedicated vCPUs…
A number of new security-related features are now available in preview.
New job scheduling and security-related features are now available.
An expanded selection of VMs can be used with Azure Batch, providing access to newer Azure VM series.
Azure Private Link for Azure Batch is now generally available in the West US 2, East US, South Central US, US Gov Virginia, and US Gov Arizona regions
Learn about the new or enhanced Azure Batch capabilities that were updated in the second half of 2019.
Here are the latest new or enhanced capabilities for Azure Batch, available now.
Here are the latest new or enhanced capabilities for Azure Batch.
Effective January 1, 2018, the billing meter name for the Chaos Group V-Ray software will change to reflect the correct name of the software.
Learn about recent Batch updates for custom images, virtual networks, low-priority GA, and more.
Microsoft routinely maintains and updates Azure Cloud Shell, including the addition of new CLI tools to improve your productivity. Learn about the CLI tools we recently added.
Recent Batch updates for rendering, job task counts, and exposing ports on pool nodes.
Application packages can be used with VirtualMachineConfiguration pools, new metrics are available for low-priority VMs, and new template and file transfer capabilities are available in the Azure CLI for Batch.
Here's a summary of recent updates to Azure Batch.
Low-priority VMs are now available at a large discount compared to regular on-demand VMs.
Here's a summary of recent updates to Azure Batch.
N-series and H-series VMs can now be used with Azure Batch.
Capabilities have been added to the Azure Batch service: Linux VM support (general availability), Linux MPI, task application packages, virtual network support for Windows VMs, and job auto-completion.
New capabilities added to Azure Batch include support for application packages, Linux compute nodes, and task dependencies; client libraries for Python, Java, and Node.js; and an improved portal experience.
The Azure Batch service has added Linux VM support.
Azure Batch Service has added MPI and offline node support.
Azure Batch makes it easy to run large-scale parallel and high-performance computing workloads in Azure.
Azure Batch Service added Job Preparation and Release Task Support
Azure PowerShell includes new capabilities to manage Azure Batch services.
The Batch client library for .NET is updated to 1.2.0 to use Azure Storage Client Library 4.0.0.
The Batch client library for .NET is updated to fix some major customer issues.
The Azure Batch Explorer sample is updated with a new work item view and improved performance.
Azure Batch is a new platform service that enables you to run large-scale parallel and HPC applications in the cloud.