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@@ -35,11 +35,12 @@ A compute instance is a fully managed cloud-based workstation optimized for your
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|Key benefits|Description|
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|----|----|
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|Productivity|You can build and deploy models using integrated notebooks and the following tools in Azure Machine Learning studio:<br/>- Jupyter<br/>- JupyterLab<br/>- VS Code (preview)<br/>- RStudio (preview)<br/>Compute instance is fully integrated with Azure Machine Learning workspace and studio. You can share notebooks and data with other data scientists in the workspace.<br/> You can also use [VS Code](https://techcommunity.microsoft.com/t5/azure-ai/power-your-vs-code-notebooks-with-azml-compute-instances/ba-p/1629630) with compute instances.
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|Productivity|You can build and deploy models using integrated notebooks and the following tools in Azure Machine Learning studio:<br/>- Jupyter<br/>- JupyterLab<br/>- VS Code (preview)<br/>- RStudio (preview)<br/>Compute instance is fully integrated with Azure Machine Learning workspace and studio. You can share notebooks and data with other data scientists in the workspace.<br/> You can also use VS Code with compute instances.
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|Managed & secure|Reduce your security footprint and add compliance with enterprise security requirements. Compute instances provide robust management policies and secure networking configurations such as:<br/><br/>- Autoprovisioning from Resource Manager templates or Azure Machine Learning SDK<br/>- [Azure role-based access control (Azure RBAC)](../role-based-access-control/overview.md)<br/>- [Virtual network support](./how-to-secure-training-vnet.md#compute-cluster)<br/> - SSH policy to enable/disable SSH access<br/>- [No public IP](./how-to-secure-training-vnet.md#no-public-ip) gives you the ability to enable a secure connectivity solution with no dependency on a public IP address</br>- TLS 1.2 enabled |
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|Preconfigured for ML|Save time on setup tasks with pre-configured and up-to-date ML packages, deep learning frameworks, GPU drivers.|
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|Fully customizable|Broad support for Azure VM types including GPUs and persisted low-level customization such as installing packages and drivers makes advanced scenarios a breeze. |
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* Secure your compute instance with **[No public IP (preview)](./how-to-secure-training-vnet.md#no-public-ip)**
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* The compute instance is also a secure training compute target similar to compute clusters, but it is single node.
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* You can [create a compute instance](how-to-create-manage-compute-instance.md?tabs=python#create) yourself, or an administrator can **[create a compute instance on your behalf](how-to-create-manage-compute-instance.md?tabs=python#on-behalf)**.
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* You can also **[use a setup script (preview)](how-to-create-manage-compute-instance.md#setup-script)** for an automated way to customize and configure the compute instance as per your needs.
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