OpenClaw is a personal AI assistant that runs on your own devices, offering a local-first approach to AI automation. In this guide, we will explore deploying OpenClaw on various platforms including LightNode.
Clawdbot is an open-source, self-hosted personal AI assistant that connects to your favorite messaging platforms. Unlike cloud-based AI assistants like ChatGPT, Clawdbot runs entirely on your infrastructure, giving you complete control over your data and privacy. In this article, we'll guide you through the installation process of Clawdbot on a VPS using Node.js. We recommend using LightNode as your VPS provider.
Are you curious about installing vLLM, a state-of-the-art Python library designed to unlock powerful LLM capabilities? This guide will walk you through the process, ensuring you harness vLLM's potential to transform your AI-driven projects.
Introduction to vLLM
vLLM is more than just another tool; it's a gateway to harnessing the power of large language models (LLMs) efficiently. It supports a variety of NVIDIA GPUs, such as the V100, T4, and RTX20xx series, making it perfect for compute-intensive tasks. With its compatibility across different CUDA versions, vLLM adapts seamlessly to your existing infrastructure, whether you're using CUDA 11.8 or the latest CUDA 12.1.
OpenManus is an innovative tool that allows developers and researchers to leverage the potential of open-source AI technology without the restrictions associated with traditional API services. In this guide, we'll explore different methods to install OpenManus, the necessary configurations, and some troubleshooting tips to ensure you have a smooth setup. We recommend using LightNode as your VPS provider.
Open WebUI is an open-source web interface designed for interacting with large language models (LLMs) like GPT-4. This user-friendly platform can be hosted on cloud servers, allowing for scalable deployment and easy management of AI models. In this article, we will guide you through the installation process of Open WebUI on a cloud server using Docker.