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| Compute target | Usage | GPU support | FPGA support | Description |
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| ----- | ----- | ----- | ----- | ----- |
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| [Localwebservice](../articles/machine-learning/service/how-to-deploy-and-where.md#local) | Testing/debug | maybe | | Good for limited testing and troubleshooting. Hardware acceleration depends on using libraries in the local system.
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| [Local web service](../articles/machine-learning/service/how-to-deploy-and-where.md#local) | Testing/debug | maybe | | Good for limited testing and troubleshooting. Hardware acceleration depends on using libraries in the local system.
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|[Azure Kubernetes Service (AKS)](../articles/machine-learning/service/how-to-deploy-and-where.md#aks)| Real-time inference |[yes](../articles/machine-learning/service/how-to-deploy-inferencing-gpus.md)|[yes](../articles/machine-learning/service/how-to-deploy-fpga-web-service.md)|Good for high-scale production deployments. Provides autoscaling and fast response times. AKS is the only option available for the visual interface. |
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|[Azure Container Instances (ACI)](../articles/machine-learning/service/how-to-deploy-and-where.md#aci)| Testing or dev | | | Good for low scale, CPU-based workloads requiring <48-GB RAM |
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|[Azure Machine Learning Compute](../articles/machine-learning/service/how-to-run-batch-predictions.md)| (Preview) Batchinference | yes | | Run batch scoring on serverless compute. Supports normal and low-priority VMs. |
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|[Azure IoT Edge](../articles/machine-learning/service/how-to-deploy-and-where.md#iotedge)| (Preview) IoTmodule | | | Deploy & serve ML models on IoT devices. |
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|[Azure Data Box Edge](../articles/databox-online/data-box-edge-overview.md)| via IoT Edge | | yes | Deploy & serve ML models on IoT devices. |
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|[Azure Machine Learning Compute](../articles/machine-learning/service/how-to-run-batch-predictions.md)| (Preview) Batch inference | yes | | Run batch scoring on serverless compute. Supports normal and low-priority VMs. |
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|[Azure IoT Edge](../articles/machine-learning/service/how-to-deploy-and-where.md#iotedge)| (Preview) IoT module | | | Deploy & serve ML models on IoT devices. |
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|[Azure Data Box Edge](../articles/databox-online/data-box-edge-overview.md)| via IoT Edge | | yes | Deploy & serve ML models on IoT devices. |
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