Question: How to allow multiple users on Azure VM
Some partners followed the below article and were able to resolve their issue: https://community.dynamics.com/365/b/dynamics365enterprisecloudfronts/posts/setup-simultaneous-remote-login-for-multiple-users Here are a few other responses from community influencers: Comment: This sounds like a scenario where you are hosting an application/service for end customers, e.g. a SaaS offering, but as rich client where RDP protocol is required. The solution is to enable Remote Desktop Services to allow multiple users working simultaneous on a VM. You could either build a RDS farm in Azure yourself, or you use Windows Virtual Desktop as Gateway/broker Service to publish the application, which I would recommend. You need to use WVD with Windows Server-based session hosts though, not WVD with Windows 10 Multi-Session - this is because of licensing reasons. Since you are providing a hosted service, the access of the end customers would need to be licensed via RDS Subscriber Access Licenses (RDS SALs) obtained via SPLA, for hosted scenarios like this there is no other option then to use SPLA licenses because usage of RDS role is not covered with the Windows VM license that Azure offers. Comment: Does not change that you need RDS and the licenses (RDS CALs - or RDS SALS via SPLA when it is about a hosted solution like described by the OP). Since this thread was revived via the new post, and since there were changes, some additional information: You can now also offer Windows Client OS (Windows 10/11 Multisession) in Azure Virtual Desktop as basis for your hosted, custom services/apps, not only Windows Server how I described. This is possible because there is a new licensing options - AVD remote app streaming: What is Azure Virtual Desktop remote app streaming? - Azure | Microsoft Docs
mstsc : The term 'mstsc' is not recognized as the name of a cmdlet, function, script file.
I am using mstsc /v:publicIpAddress command to create remote desktop connection from local computer. but getting this error mstsc: The term 'mstsc' is not recognized as the name of a cmdlet, function, script file, or operable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. how to create remote desktop connection using CLI/powershell?
Azure VM - RemoteApps Mouse Focus Issue
Seeing an issue this morning on multiple VMs and hostpools where Remoteapps have not handling Window Focus correctly. Situation: A maximized app and a secondary app smaller and on the same screen. If attempting to click or use the smaller app. The maximized app is receiving the mouse clicks. In some situations it will even pull to the front covering the smaller app. The only way to interact with the smaller window is to minimize or move the larger window out of the way. Both applications in the scenario are remote apps. Naturally anything running natively off the client PC is unaffected. No updates to the client PC. Trying to identify what would cause this behavior overnight.Deploy and Install Windows Admin Center in an Azure VM
The great thing about Windows Admin Center (WAC) you manage every Windows Server doesn't matter where it is running. You can manage Windows Servers on-prem, in Azure or running at other cloud providers. Now if you want to use Windows Admin Center to manage your virtual machines running in Azure, you can use either an on-prem WAC installation and connecting it using a public IP address or a VPN connection, or you can deploy and install Windows Admin Center in Azure. This blog post will show you how you can deploy and install Windows Admin Center in an Azure virtual machine (VM). Check out my blog post to read more: https://www.thomasmaurer.ch/2019/10/deploy-and-install-windows-admin-center-in-an-azure-vm/Deploy Open Web UI on Azure VM via Docker: A Step-by-Step Guide with Custom Domain Setup.
Introductions Open Web UI (often referred to as "Ollama Web UI" in the context of LLM frameworks like Ollama) is an open-source, self-hostable interface designed to simplify interactions with large language models (LLMs) such as GPT-4, Llama 3, Mistral, and others. It provides a user-friendly, browser-based environment for deploying, managing, and experimenting with AI models, making advanced language model capabilities accessible to developers, researchers, and enthusiasts without requiring deep technical expertise. This article will delve into the step-by-step configurations on hosting OpenWeb UI on Azure. Requirements: Azure Portal Account - For students you can claim $USD100 Azure Cloud credits from this URL. Azure Virtual Machine - with a Linux of any distributions installed. Domain Name and Domain Host Caddy Open WebUI Image Step One: Deploy a Linux – Ubuntu VM from Azure Portal Search and Click on “Virtual Machine” on the Azure portal search bar and create a new VM by clicking on the “+ Create” button > “Azure Virtual Machine”. Fill out the form and select any Linux Distribution image – In this demo, we will deploy Open WebUI on Ubuntu Pro 24.04. Click “Review + Create” > “Create” to create the Virtual Machine. Tips: If you plan to locally download and host open source AI models via Open on your VM, you could save time by increasing the size of the OS disk / attach a large disk to the VM. You may also need a higher performance VM specification since large resources are needed to run the Large Language Model (LLM) locally. Once the VM has been successfully created, click on the “Go to resource” button. You will be redirected to the VM’s overview page. Jot down the public IP Address and access the VM using the ssh credentials you have setup just now. Step Two: Deploy the Open WebUI on the VM via Docker Once you are logged into the VM via SSH, run the Docker Command below: docker run -d --name open-webui --network=host --add-host=host.docker.internal:host-gateway -e PORT=8080 -v open-webui:/app/backend/data --restart always ghcr.io/open-webui/open-webui:dev This Docker command will download the Open WebUI Image into the VM and will listen for Open Web UI traffic on port 8080. Wait for a few minutes and the Web UI should be up and running. If you had setup an inbound Network Security Group on Azure to allow port 8080 on your VM from the public Internet, you can access them by typing into the browser: [PUBLIC_IP_ADDRESS]:8080 Step Three: Setup custom domain using Caddy Now, we can setup a reverse proxy to map a custom domain to [PUBLIC_IP_ADDRESS]:8080 using Caddy. The reason why Caddy is useful here is because they provide automated HTTPS solutions – you don’t have to worry about expiring SSL certificate anymore, and it’s free! You must download all Caddy’s dependencies and set up the requirements to install it using this command: sudo apt install -y debian-keyring debian-archive-keyring apt-transport-https curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/gpg.key' | sudo gpg --dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt' | sudo tee /etc/apt/sources.list.d/caddy-stable.list sudo apt update && sudo apt install caddy Once Caddy is installed, edit Caddy’s configuration file at: /etc/caddy/Caddyfile , delete everything else in the file and add the following lines: yourdomainname.com { reverse_proxy localhost:8080 } Restart Caddy using this command: sudo systemctl restart caddy Next, create an A record on your DNS Host and point them to the public IP of the server. Step Four: Update the Network Security Group (NSG) To allow public access into the VM via HTTPS, you need to ensure the NSG/Firewall of the VM allow for port 80 and 443. Let’s add these rules into Azure by heading to the VM resources page you created for Open WebUI. Under the “Networking” Section > “Network Settings” > “+ Create port rule” > “Inbound port rule” On the “Destination port ranges” field, type in 443 and Click “Add”. Repeat these steps with port 80. Additionally, to enhance security, you should avoid external users from directly interacting with Open Web UI’s port - port 8080. You should add an inbound deny rule to that port. With that, you should be able to access the Open Web UI from the domain name you setup earlier. Conclusion And just like that, you’ve turned a blank Azure VM into a sleek, secure home for your Open Web UI, no magic required! By combining Docker’s simplicity with Caddy’s “set it and forget it” HTTPS magic, you’ve not only made your app accessible via a custom domain but also locked down security by closing off risky ports and keeping traffic encrypted. Azure’s cloud muscle handles the heavy lifting, while you get to enjoy the perks of a pro setup without the headache. If you are interested in using AI models deployed on Azure AI Foundry on OpenWeb UI via API, kindly read my other article: Step-by-step: Integrate Ollama Web UI to use Azure Open AI API with LiteLLM Proxy
A3- standard VM pricing
Hello, I want to find out the pricing for A3 Standard VM running RHEL in "US West 2 " in Azure portal . I cannot locate anywhere . Only in the calculator when I input all the details , I can find the price . Anybody can give some input here? Azure portal pricing page gives only pricing for A3 - Basic .. This gives an impression that A3-standard does not exit . However in the calculator, you can input A3-standard .. How come this discrepancy ?? Thanks, Chitta
Azure Windows 10 vm available for non-msdn user?
Hi all, We are using Pay-As-You-Go subscription as far as i know windows 10 is not available non-msdn But now i am little confused about the product https://azuremarketplace.microsoft.com/en-us/marketplace/apps/Microsoft.Windows10RS3Prox64-ARM?tab=Overview in azure market place Can anyone please explain to me this product also belongs to msdn subscription or its actually available for PAYG subscription? Thanks NihalConfigure Embedding Models on Azure AI Foundry with Open Web UI
Introduction Let’s take a closer look at an exciting development in the AI space. Embedding models are the key to transforming complex data into usable insights, driving innovations like smarter chatbots and tailored recommendations. With Azure AI Foundry, Microsoft’s powerful platform, you’ve got the tools to build and scale these models effortlessly. Add in Open Web UI, a intuitive interface for engaging with AI systems, and you’ve got a winning combo that’s hard to beat. In this article, we’ll explore how embedding models on Azure AI Foundry, paired with Open Web UI, are paving the way for accessible and impactful AI solutions for developers and businesses. Let’s dive in! To proceed with configuring the embedding model from Azure AI Foundry on Open Web UI, please firstly configure the requirements below. Requirements: Setup Azure AI Foundry Hub/Projects Deploy Open Web UI – refer to my previous article on how you can deploy Open Web UI on Azure VM. Optional: Deploy LiteLLM with Azure AI Foundry models to work on Open Web UI - refer to my previous article on how you can do this as well. Deploying Embedding Models on Azure AI Foundry Navigate to the Azure AI Foundry site and deploy an embedding model from the “Model + Endpoint” section. For the purpose of this demonstration, we will deploy the “text-embedding-3-large” model by OpenAI. You should be receiving a URL endpoint and API Key to the embedding model deployed just now. Take note of that credential because we will be using it in Open Web UI. Configuring the embedding models on Open Web UI Now head to the Open Web UI Admin Setting Page > Documents and Select Azure Open AI as the Embedding Model Engine. Copy and Paste the Base URL, API Key, the Embedding Model deployed on Azure AI Foundry and the API version (not the model version) into the fields below: Click “Save” to reflect the changes. Expected Output Now let us look into the scenario for when the embedding model configured on Open Web UI and when it is not. Without Embedding Models configured. With Azure Open AI Embedding models configured. Conclusion And there you have it! Embedding models on Azure AI Foundry, combined with the seamless interaction offered by Open Web UI, are truly revolutionizing how we approach AI solutions. This powerful duo not only simplifies the process of building and deploying intelligent systems but also makes cutting-edge technology more accessible to developers and businesses of all sizes. As we move forward, it’s clear that such integrations will continue to drive innovation, breaking down barriers and unlocking new possibilities in the AI landscape. So, whether you’re a seasoned developer or just stepping into this exciting field, now’s the time to explore what Azure AI Foundry and Open Web UI can do for you. Let’s keep pushing the boundaries of what’s possible!
