AI Assistant on VPS Server · Live · April 26

Run Your AI Assistant on a VPS Server — Always Available, Always Private

Running your AI assistant on a VPS server means it is always available — responding in WhatsApp and Telegram 24 hours a day, 7 days a week, from your own private server with no cloud AI dependency. This live workshop shows you how to set it up.

Sunday, April 26   9am to 1pm EDT
4 Hours   Hands-on coding
Live Online   Interactive

Workshop Details

📅
Date and Time
Sunday, April 26, 2026
9:00am to 1:00pm EDT
Duration
4 Hours · Hands-on
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Format
Live Online · Interactive
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Includes
Certificate of Completion
🔒
Privacy
100% Local · No Cloud Required
Register on Eventbrite →

By Packt Publishing · Refunds up to 10 days before

OpenClaw — 200K+ GitHub Stars
4 Hours Live Hands-On Coding
✦ By Packt Publishing
No Cloud Dependency Required
Certificate of Completion
Why Trust Packt

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About This Workshop

Why Running Your AI Assistant on a VPS Server Is the Ultimate Setup

A VPS server AI assistant combines always-on availability with complete ownership. Your AI model runs on your server, your conversations stay on your infrastructure, and your assistant responds at any time without needing your laptop to be awake.

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What is OpenClaw?

OpenClaw is the open-source personal AI assistant that went viral in early 2026 with 200K+ GitHub stars. It runs on your own devices and connects to WhatsApp, Telegram, Slack and more. No subscription. No data leaving your machine.

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What is Docker Model Runner?

Docker Model Runner is Docker's native feature for running large language models locally on your machine. It gives you an OpenAI-compatible API that OpenClaw uses as its AI brain — complete data privacy, no cloud costs.

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Why Combine OpenClaw and Docker?

OpenClaw gives you the assistant interface and messaging integrations. Docker Model Runner gives you the AI brain running privately on your machine. Together they create a production grade private AI assistant you fully own.

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Why Attend as a Live Workshop?

Setting this up from scattered documentation takes days of debugging. This live workshop gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.

Workshop Curriculum

How to Run Your AI Assistant on a VPS Server

Six modules. Four hours. One working private AI assistant by the time you finish.

01

How OpenClaw Works

Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.

02

Docker Model Runner Setup

Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, and understand the OpenAI-compatible API.

03

Security and Privacy

Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.

04

Connect to WhatsApp or Telegram

Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.

05

Scalable Architecture

Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.

06

Production Deployment

Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.

What You Walk Away With

By the End of This Workshop You Will Have

Concrete working deliverables — not just theory.

A fully functional local AI assistant running on your machine

Docker Model Runner configured with your chosen LLM model

OpenClaw connected to WhatsApp or Telegram

Security and privacy configuration you can trust

A reusable architecture for future AI assistant projects

Certificate of completion from Packt Publishing

Your Instructor

Learn VPS AI Assistant Deployment From a Docker Captain

Rami Krispin runs AI assistants on VPS servers in production environments.

Rami Krispin

Rami Krispin

Workshop Instructor · April 26, 2026

Rami is a Senior Manager of Data Science and Engineering, Docker Captain, and LinkedIn Learning Instructor with deep expertise in building and deploying production AI systems. He guides you step by step from a blank terminal to a fully deployed private AI assistant — answering your questions live throughout the 4-hour session.

Prerequisites

Who Is This Workshop For?

You do not need to be an expert. You do need the basics.

Frequently Asked Questions

Common Questions About Running AI Assistants on VPS Servers

Common questions about the workshop, what to expect, and how to prepare.

What is the minimum VPS spec needed to run a capable AI assistant? +

The minimum practical VPS spec for running a capable AI assistant is 16GB RAM and 2 CPU cores. This is sufficient for a 7B parameter model at 10 to 20 tokens per second response speed. For better performance, 32GB RAM and 4 cores provides a noticeably faster and more responsive AI assistant experience.

How much does it cost per month to run my AI assistant on a VPS server? +

A VPS with 16GB RAM typically costs $20 to $40 per month depending on the provider and location. Hetzner Cloud offers some of the most competitive pricing with 16GB RAM instances available from around $15 per month in European data centers.

Does running an AI assistant on a VPS server require Linux knowledge? +

Basic Linux command line familiarity is helpful. You need to be comfortable with SSH connections, running commands, and editing configuration files in a terminal. The workshop covers every command you need — the instructor explains each step without assuming advanced Linux expertise.

Can I run my AI assistant on a VPS server with GPU support? +

Some VPS providers offer GPU-enabled instances for significantly better inference performance. The workshop covers CPU-based deployment which works well for personal use. The instructor briefly covers GPU VPS options during the deployment module.

How do I monitor my AI assistant running on a VPS server? +

The workshop covers monitoring your VPS AI assistant — checking Docker container health, monitoring memory usage, watching inference logs, and verifying the messaging platform connection. Simple monitoring using standard Linux tools is covered to ensure you can detect and resolve issues quickly.

What is the difference between running an AI assistant on a VPS versus a cloud AI service? +

A VPS is infrastructure you rent and control — your AI model runs on that server with no data going to any AI provider. A cloud AI service like OpenAI processes your data on their infrastructure regardless of what server your application runs on. Running on your own VPS with Docker Model Runner keeps AI processing entirely within your controlled infrastructure.

AI Assistant on VPS Server · April 26, 2026

Ready to Run Your AI Assistant on a VPS Server?

4 hours. Live instructor. AI assistant running on your VPS server by the end. Seats are limited.

Register Now →

Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing