Azure Batch Rendering, Batch Labs in public preview Pricing | Azure Batch Rendering webpage Scale to thousands of virtual machines with Azure Batch. It delivers cloud-scale job scheduling and compute management for batch and HPC apps. Only paying for what you use, you can choose either Linux or Windows and autoscale based on workload. Batch takes care of all the heavy lifting associated with job scheduling or queueing, managing failures, retry policies, and autoscaling. Now in public preview, Batch Rendering integrates rendering capabilities into the Batch job service. Batch opens doors to artists, engineers, designers, and developers. This new rendering platform, built on top of Batch, will let you seamlessly submit rendering jobs with the agility, flexibility, and scalability of Azure compute. As part of this offering, Azure is working with Autodesk, Chaos Group, and other partners to enable customers to run their day-to-day rendering workloads seamlessly on Azure. Whether you’re an individual or a studio, you can rely on Batch Rendering for:
| ✓ | Pay-per-use licensing, letting you easily scale to thousands of cores and only pay for what you use. |
| ✓ | Easy deployment and flexibility with full access to virtual machines, allowing complete customization of your environment as well as troubleshooting any issues. |
| ✓ | Familiar tools like our rich client plugins that let you submit jobs without learning new tools or apps. |
| ✓ | State of the art infrastructure to let you deploy your workloads on a wide variety of virtual machines based on your needs. |
Batch Rendering provides tools like client plugins that offer a rich integrated experience, letting customers submit jobs from within the apps with easy scaling, monitoring, and asset management. Additionally, the SDK, available in various languages, allows custom integration with customers’ existing environments. Also available is a preview of Batch Labs, a desktop management tool that includes job submission capabilities for supported apps. Batch Labs is a tool to manage your Batch accounts. The goal is to implement a great user experience that will help you debug, monitor, and manage your pools, jobs, and tasks.