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Azure Batch - HPC Job Scheduler

Azure Batch enables running batch computing jobs on a managed pool of virtual machines.

compute
Pricing Model Pay for VMs only
Availability Global regions
Data Sovereignty EU regions available
Reliability 99.9% SLA

What is Azure Batch?

Azure Batch is a managed service for high-performance computing (HPC) and batch processing. The service automatically manages pools of virtual machines, distributes tasks, scales resources, and monitors execution without requiring dedicated cluster infrastructure.

Batch itself is free: you only pay for the compute resources used.

Core Features

  • Automatic scaling of VM pools based on queue
  • Support for Windows and Linux VMs
  • Azure Spot VMs for significantly reduced costs on interruptible workloads
  • Integration with Azure Storage for input/output data
  • Custom VM images for specialized software
  • Application packages for software deployment

Typical Use Cases

Media rendering: Distribution of rendering jobs across hundreds or thousands of VMs for animation, VFX, or architectural visualization. Studios use Batch for peak loads without permanent infrastructure.

Scientific simulations: Monte Carlo simulations, genome analysis, physics simulations, or financial modeling on large VM pools with MPI support.

Data processing: ETL jobs, image processing, document conversion, or other parallelizable tasks that can run independently.

Benefits

  • No charges for the Batch service itself
  • Massive parallelization without dedicated cluster management
  • Spot instances for cost-effective batch workloads
  • Native integration with Azure Storage and Event Grid

Frequently Asked Questions

What does Azure Batch cost?

The Batch service itself is free. You only pay for the underlying resources: VMs in the pool, storage, and network. Azure Spot VMs can significantly reduce costs for interruptible workloads compared to regular VMs.

Which VM sizes can I use?

Azure Batch supports all Azure VM sizes, including GPU VMs (NC, ND series) for rendering and ML, as well as HPC VMs (HB, HC series) with InfiniBand for MPI workloads.

How does automatic scaling work?

Autoscale formulas define how many nodes to provision based on queue length, time, or custom metrics. The pool automatically scales between min and max.

Can I use custom software?

Yes, through custom images (Managed Images or Shared Image Gallery) or application packages, you can install any software on pool nodes.

Integration with innFactory

As a Microsoft Solutions Partner, innFactory supports you with Azure Batch: architecture design, pool optimization, cost management, and integration into existing workflows.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Azure (official documentation). This page does not represent an offer by Azure.

Microsoft Solutions Partner

innFactory is a Microsoft Solutions Partner. We provide expert consulting, implementation, and managed services for Azure.

Microsoft Solutions Partner Microsoft Data & AI

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