{"id":2881,"date":"2025-06-12T22:36:45","date_gmt":"2025-06-12T22:36:45","guid":{"rendered":"https:\/\/fadyanwar.com\/?p=2881"},"modified":"2025-06-18T03:08:37","modified_gmt":"2025-06-18T03:08:37","slug":"how-to-set-up-privategpt-on-azure-a-complete-guide","status":"publish","type":"post","link":"https:\/\/fadyanwar.com\/index.php\/2025\/06\/12\/how-to-set-up-privategpt-on-azure-a-complete-guide\/","title":{"rendered":"How to Set Up PrivateGPT on Azure: A Complete Guide"},"content":{"rendered":"\n<div class=\"wp-block-jetpack-markdown\"><p>PrivateGPT is a powerful tool for running private, local AI models with document ingestion capabilities. In this tutorial, we\u2019ll walk through setting up <strong>PrivateGPT on an Azure Linux VM<\/strong> using Docker Compose.<\/p>\n<hr>\n<h3><strong>Prerequisites<\/strong><\/h3>\n<ul>\n<li><strong>An Azure account<\/strong> (Free tier available)<\/li>\n<li><strong>A Linux VM<\/strong> (Ubuntu 20.04\/22.04 recommended)<\/li>\n<li><strong>Docker &amp; Docker Compose<\/strong> (Installed in this guide)<\/li>\n<li><strong>Minimum 8GB RAM<\/strong> (16GB+ recommended for better performance)<\/li>\n<\/ul>\n<hr>\n<h3><strong>Step 1: Create an Azure Linux VM<\/strong><\/h3>\n<ol>\n<li>Log in to the <a href=\"https:\/\/portal.azure.com\">Azure Portal<\/a>.<\/li>\n<li>Navigate to <strong>Virtual Machines<\/strong> \u2192 <strong>Create VM<\/strong>.<\/li>\n<li>Select:<\/li>\n<\/ol>\n<ul>\n<li><strong>OS<\/strong>: Ubuntu Server 20.04 LTS or 22.04 LTS<\/li>\n<li><strong>Size<\/strong>: Standard B4ms (4 vCPUs, 16GB RAM) or better<\/li>\n<li><strong>Authentication<\/strong>: SSH key (recommended) or password<\/li>\n<\/ul>\n<ol start=\"4\">\n<li>Allow inbound ports: <strong>22 (SSH), 8001 (PrivateGPT), 8080 (Traefik)<\/strong><\/li>\n<li>Click <strong>Review + Create<\/strong>, then deploy.<\/li>\n<\/ol>\n<hr>\n<h3><strong>Step 2: Connect to the VM via SSH<\/strong><\/h3>\n<pre><code class=\"language-bash\">ssh -i ~\/.ssh\/your_key.pem azureuser@server_ip\n<\/code><\/pre>\n<hr>\n<h3><strong>Step 3: Install Docker &amp; Docker Compose<\/strong><\/h3>\n<h4><strong>Install Docker Engine<\/strong><\/h4>\n<pre><code class=\"language-bash\">sudo apt update &amp;&amp; sudo apt upgrade -y\nsudo apt install -y docker.io\nsudo systemctl enable --now docker\n<\/code><\/pre>\n<h4><strong>Install Docker Compose Plugin (v2)<\/strong><\/h4>\n<pre><code class=\"language-bash\">sudo mkdir -p \/usr\/local\/lib\/docker\/cli-plugins\nsudo curl -SL https:\/\/github.com\/docker\/compose\/releases\/download\/v2.24.5\/docker-compose-linux-x86_64 -o \/usr\/local\/lib\/docker\/cli-plugins\/docker-compose\nsudo chmod +x \/usr\/local\/lib\/docker\/cli-plugins\/docker-compose\n<\/code><\/pre>\n<h4><strong>Verify Installation<\/strong><\/h4>\n<pre><code class=\"language-bash\">docker --version\ndocker compose version # Should show v2.X\n<\/code><\/pre>\n<h4><strong>Add User to Docker Group (Avoid Sudo)<\/strong><\/h4>\n<pre><code class=\"language-bash\">sudo usermod -aG docker $USER\nnewgrp docker # Reload group permissions\n<\/code><\/pre>\n<hr>\n<h3><strong>Step 4: Clone &amp; Run PrivateGPT<\/strong><\/h3>\n<h4><strong>Clone the Repository<\/strong><\/h4>\n<pre><code class=\"language-bash\">git clone https:\/\/github.com\/zylon-ai\/private-gpt.git\ncd private-gpt\n<\/code><\/pre>\n<h4><strong>Start PrivateGPT (Ollama CPU Mode)<\/strong><\/h4>\n<pre><code class=\"language-bash\">docker compose --profile ollama-cpu up -d\n<\/code><\/pre>\n<h4><strong>Check Running Services<\/strong><\/h4>\n<pre><code class=\"language-bash\">docker ps # Should show PrivateGPT and Ollama containers\n<\/code><\/pre>\n<hr>\n<h3><strong>Step 5: Access PrivateGPT<\/strong><\/h3>\n<h4><strong>Web UI<\/strong><\/h4>\n<ul>\n<li>Open in your browser:<\/li>\n<\/ul>\n<pre><code>http:\/\/[VM_PUBLIC_IP]:8001\n<\/code><\/pre>\n<h4><strong>Traefik Dashboard (Optional)<\/strong><\/h4>\n<p>If using the Ollama profile:<\/p>\n<pre><code>http:\/\/[VM_PUBLIC_IP]:8080\n<\/code><\/pre>\n<hr>\n<h3><strong>Troubleshooting<\/strong><\/h3>\n<h4><strong>1. Port Conflicts<\/strong><\/h4>\n<p>If you see:<\/p>\n<pre><code>Error: Port 8001 already in use\n<\/code><\/pre>\n<p>Run:<\/p>\n<pre><code class=\"language-bash\">sudo lsof -i :8001 # Find the process\nsudo kill -9 # Terminate it\n<\/code><\/pre>\n<h4><strong>2. Low RAM Issues<\/strong><\/h4>\n<p>Increase <strong>swap memory<\/strong>:<\/p>\n<pre><code class=\"language-bash\">sudo fallocate -l 4G \/swapfile\nsudo chmod 600 \/swapfile\nsudo mkswap \/swapfile\nsudo swapon \/swapfile\necho '\/swapfile none swap sw 0 0' | sudo tee -a \/etc\/fstab\n<\/code><\/pre>\n<h4><strong>3. Docker Permission Denied<\/strong><\/h4>\n<p>Ensure your user is in the <code>docker<\/code> group:<\/p>\n<pre><code class=\"language-bash\">groups # Check if &quot;docker&quot; is listed\n<\/code><\/pre>\n<hr>\n<h3><strong>Conclusion<\/strong><\/h3>\n<p>You\u2019ve successfully set up <strong>PrivateGPT on an Azure VM<\/strong> with Docker Compose! Now you can:<\/p>\n<ol>\n<li>Run local AI models securely<\/li>\n<li>Ingest and query private documents<\/li>\n<li>Scale resources as needed<\/li>\n<\/ol>\n<p>For advanced setups, consider:<\/p>\n<ul>\n<li><strong>GPU acceleration<\/strong> (Use <code>--profile ollama-cuda<\/code>)<\/li>\n<li><strong>Custom models<\/strong> (Edit <code>docker-compose.yml<\/code>)<\/li>\n<\/ul>\n<p>Happy private AI experimenting! \ud83d\ude80<\/p>\n<hr>\n<h4><strong>Further Reading<\/strong><\/h4>\n<ul>\n<li><a href=\"https:\/\/github.com\/zylon-ai\/private-gpt\">PrivateGPT GitHub<\/a><\/li>\n<li><a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/virtual-machines\/\">Azure VM Docs<\/a><\/li>\n<li><a href=\"https:\/\/docs.docker.com\/compose\/\">Docker Compose Guide<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":2883,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_vp_format_video_url":"","_vp_image_focal_point":[],"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2881","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - 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