专用终结点通过多个专用 IP 地址将工作区连接到 VNet。 公共访问 - 可以选择为受保护的工作区启用公共访问。 关联的资源 - 使用服务终结点或专用终结点连接到工作区资源,如 Azure 存储、Azure Key Vault。 对于 Azure 容器服务,请使用专用终结点。 服务终结点:为 Azure 服务提供虚拟网络的标识。 在虚拟网络中...
根據預設,Azure Machine Learning 會嘗試使用無伺服器計算來建置映像。 只有當儲存體帳戶或 Container Registry 等工作區相依資源不受任何網路限制 (私人端點) 時才適用。 如果您的工作區相依資源受限於網路,請改用 image-build-compute。 若要設定映像建置計算,請在與工作區相依資源相同的 VNet 中建立 Azure Machin...
如果您使用私人 AKS 叢集,您必須在 AKS vnet 中設定 ACR、儲存體帳戶、工作區的私人端點。 請確定您的 Azure Machine Learning 延伸模組版本大於 v1.1.25。 ERROR: TokenRefreshFailed 此錯誤的原因是延伸模組因為未正確設定 Kubernetes 叢集身分識別而無法從 Azure 取得主體認證。 重新安裝Azure Machine Learning...
인터넷 액세스 사용 안 함/제어(인바운드 및 아웃바운드) 및 특정 VNet PARTIAL PARTIAL 연결된 모든 리소스/서비스에 대한 배치 예 예 미사용 암호화 및 전송 중 예 예 컴퓨팅 리소스...
Hi, I am trying to create a machine learning workspace with private endpoint and storage account also with private endpoint in the same subnet of a VNET. However, when I try to create a notebook on Azure Machine Learning Studio, I can only see the… ...
Spin up an Azure Machine Learning compute cluster: user [ ~/anf-with-azureml-main ]$ az ml compute create -n cpu-cluster --type amlcompute --min-instances 0 --max-instances 1 --size Standard_F16s_v2 --vnet-name $vnet_name --subnet aml --idle-time-before...
Azure Machine Learning Microsoft Fabric HDInsight Azure Data Explorer Azure Data Lake Storage Azure Operator Insights Solutions Featured View all solutions (40+) Azure AI Migrate to innovate in the era of AI Build and modernize intelligent apps Data analytics for AI Azure AI Inf...
Azure Virtual Network (VNet) is the fundamental building block for any customer network. VNet lets you create your own private space in Azure, or as I call it your own network bubble.
vnet_integration_enabled: specifies whether API Server VNet Integration is enabled. openai_deployments: specifies the list of the Azure OpenAI Service models to create. This sample needs a GPT model for chat completions and an embeddings model.NOTE...
For more information, see Create an Azure Kubernetes Service cluster with API Server VNet Integration. Azure NAT Gateway to manage outbound connections initiated by AKS-hosted workloads. Event-driven Autoscaling (KEDA) add-on is a single-purpose and lightweight component ...