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I would like to see an explanation of the relationship between quota and Azure ML. What vms are best for a small, medium and large assisted labeling jobs? What vms are best for small, medium and large Object Detection Model training?
- SwatiGharse
Microsoft
Automated ML models for computer vision tasks require GPU SKUs and support NC and ND families. We recommend the NCsv3-series (with v100 GPUs) for faster training. A compute target with a multi-GPU VM SKU leverages multiple GPUs to also speed up training. Additionally, when you set up a compute target with multiple nodes you can conduct faster model training through parallelism when tuning hyperparameters for your model.- Thanks Swati, I work for a startup. We do not need the fastest training. We are willing to wait. What we need is the most cost efficient SKU. Do you have a recommendation for most cost efficient sku for Assisted Labeling and Object Detection Model training?
- cesardlHere you have a couple of links explaining compute in Azure ML: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?tabs=python https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python
