联机终结点托管标识机器学习工作区AzureML 工作区连接机密读取者 计算实例托管标识工作区容器注册表AcrPull 计算实例托管标识工作区存储帐户存储 Blob 数据读者 密钥轮换 此体系结构中有两个服务使用基于密钥的身份验证:Azure OpenAI 和机器学习托管联机终结点。 由于你对这些服务使用基于密钥的身份验证,因此请务必...
本参考体系结构演示如何使用 Azure 机器学习将神经样式传输应用于视频。 样式传输是一种深度学习技术,它以另一个图像的样式构成现有图像。 可概括此体系结构,将它用于任何为深度学习使用批处理计分的场景。 体系结构 下载此体系结构的Visio 文件。 工作流
線上端點受控身分識別識別 專案 AzureML 計量寫入器 線上端點受控身分識別識別 Container Registry ACRPull 線上端點受控身分識別識別 Azure OpenAI 認知服務 OpenAI 使用者 線上端點受控身分識別識別 儲存體帳戶 儲存體 Blob 資料參與者 線上端點受控身分識別識別 儲存體帳戶 儲存體 Blob 資料讀者 App Service (當提...
線上端點受控身分識別識別專案AzureML 計量寫入器 線上端點受控身分識別識別Container RegistryACRPull 線上端點受控身分識別識別Azure OpenAI認知服務 OpenAI 使用者 線上端點受控身分識別識別儲存體帳戶儲存體 Blob 資料參與者 線上端點受控身分識別識別儲存體帳戶儲存體 Blob 資料讀者 ...
"Distributed ML Training for Lane Detection, powered by NVIDIA and Azure NetApp Files","id":"message:3848255","revisionNum":10,"repliesCount":4,"author":{"__ref":"User:user:222853"},"depth":0,"hasGivenKudo":false,"board":{"__ref":"Blog:board:AzureA...
5. Actions and Business Integration: A wide choice of integrations are available via Logic Apps and Azure ML. 6. Performance: Support for binary data streams, in order to reduce latency. When to implement this architecture: 1. Input data records require complex analysis, such as time windows,...
Diagram-1: Citrix Cloud Conceptual Reference Architecture Refer to the design guide on the scalability and economics of delivering Citrix DaaS on Microsoft Azure Operations In the operations subject area, this guide dives deeper into planning for the workspace environment requirements and hierarch...
The Azure Devops/BICEP can optionally integrate with ITSM system as a "ticket" in ServiceNow/Remedy/JIRA Service Desk. The below info is needed for the ESML provisioning: ESML Architecture - "Modern data analytics platform" Based on this reference architecture:https://docs.microsoft.com/en-us...
LangChain has many agents, tools, plugins etc. out of the box. More over, LangChain has 10x more popularity, so has about 10x more developer activity to improve it. On other hand,Semantic Kernel architecture and quality is better, that's quite promising for Semantic Kernel.Link ...
We also announced that managed MLflow is generally available on Azure Databricks and will use Azure Machine Learning to track the full ML lifecycle. The combination of Azure Databricks and Azure Machine Learning makes Azure the best cloud for machine learning. Databricks open sourced Databricks Delta...