Azure Batch and performance efficiency
Azure Batch allows you to run large-scale parallel and high-performance computing (HPC) batch jobs efficiently in Azure.
Use Azure Batch to:
- Create and manage a pool of compute nodes (virtual machines).
- Install applications you want to run.
- Schedule jobs to run on the compute nodes.
The following sections include a design checklist and recommended design options specific to Azure Batch.
Design checklist
Have you designed your workload and configured Azure Batch with performance efficiency in mind?
- Use fewer jobs and more tasks.
Design and configuration recommendations
Consider the following recommendation to optimize your workload design and Azure Batch configuration for performance efficiency:
| Recommendation | Description |
|---|---|
| Use fewer jobs and more tasks. | Using a job to run a single task is inefficient. For example, it's more efficient to use a single job containing 1000 tasks rather than creating 100 jobs that contain 10 tasks each. Running 1000 jobs, each with a single task, would be the least efficient, slowest, and most expensive approach. |