https://yourtube.es/videos/watch/b995e120-8eaf-4911-a83e-46f414fdf98b Fuente: YouTube, canal "Abi" — https://www.youtube.com/watch?v=Qb-C1MWYkV4 #Cloudflare #OpenSourceAI #Ollama In this video, I’ll show you how to get access to a free cloud server with 32GB VRAM and use it to run AI models locally with Ollama. If your own PC doesn’t have a powerful GPU, this method can be useful for experimenting with larger local AI models without buying expensive hardware. We’ll set everything up step by step, install Ollama, download and run a local AI model, and then create a Cloudflare Tunnel so you can access the Ollama server remotely. We’ll also use Hugging Face to get the AI model and Kaggle as the cloud environment. 🔥 What You’ll Learn How to get a free cloud environment for AI How to use a server with 32GB VRAM How to install Ollama How to run AI models with Ollama How to use Hugging Face models with Ollama How to install Cloudflared How to create a Cloudflare Tunnel How to access your Ollama server remotely How to run larger AI models without a powerful local GPU 🔗 Useful Links and codes : https://aiautomationcollective.com/guides/ollama-kaggle-cloudflare.html Learn how to run AI models for free using Kaggle cloud GPUs without needing a dedicated graphics card. This guide provides a complete workflow for setting up your environment. This tutorial demonstrates how to leverage free compute resources to host large language models. We cover the entire process of configuring a Kaggle notebook to serve as your backend, ensuring you can access these models remotely from any machine. By maintaining an active session, you can bypass local hardware limitations and run intensive workloads. To keep your connection stable, you will learn how to integrate Ollama with a Cloudflare tunnel. This setup allows you to expose your local notebook environment securely. We walk through the necessary environment variables and session management steps to ensure your server remains reachable throughout your development sessions. Subscribe for weekly AI architecture breakdowns, and comment below if you want to see a deep dive on other model hosting patterns next. #LocalAI #Ollama #AI #CloudGPU #HuggingFace #Kaggle #Cloudflare #OpenSourceAI #llm RESUMEN El texto explica cómo ejecutar modelos de IA grandes de forma gratuita usando las GPU en la nube de Kaggle, sin necesitar una tarjeta gráfica potente ni suscripciones de pago. El proceso conecta un modelo alojado en Kaggle con el ordenador local mediante Ollama y un túnel de Cloudflare. Puntos clave: Crear una cuenta y un notebook en Kaggle, verificarla y activar la GPU gratuita., Instalar Ollama, descargar un modelo desde Hugging Face y cargarlo., Usar Cloudflare Tunnel para acceder al modelo desde la terminal local., Sirve para aprendizaje y proyectos temporales por cuotas y límites de sesión., Descargar este resumen en texto (TXT): https://yourtube.es/resumenes/Qb-C1MWYkV4.txt Tue, 03 Nov 2026 19:47:41 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://yourtube.es https://yourtube.es/client/assets/images/icons/icon-1500x1500.png https://yourtube.es/videos/watch/b995e120-8eaf-4911-a83e-46f414fdf98b All rights reserved, unless otherwise specified in the terms specified at https://yourtube.es/about and potential licenses granted by each content's rightholder.