How to Get a FREE AI Server with 32 GB VRAM for VS Code

Do you want to program locally using heavy AI models like Qwen 2.5/3, DeepSeek, or Llama, but your laptop or PC lacks the required horsepower? You don't need to spend thousands of dollars on a high-end GPU. In this straight-to-the-point guide, I'll show you how to set up a 100% FREE 32 GB VRAM server in the cloud and connect it directly to Visual Studio Code.

---

🛠️ Minimum Requirements

• Basic PC or Laptop: Windows, Mac, or Linux with an internet connection.
• Visual Studio Code: Installed on your local machine.
• Cline Extension: (or alternatives like Roo Code / Continue) installed in VS Code.
• Free Kaggle Account: Phone number verified (required to enable GPU accelerators).

---

🎁 Free Plan Limits & Quotas (Clear Accounts)

• VRAM Capacity: 32 GB VRAM (by activating 2x Nvidia T4 GPUs with 16 GB each).
• Weekly GPU Time: Up to 30 free hours per week.
• Cloud Compute Allowance: Equivalent to $10/day and $100/month in cloud resources.
• Golden Rule: Turn off your Notebook session in Kaggle when finished! Closing the browser tab alone keeps the GPU running in the background and exhausts your weekly hours unnecessarily.

---

🚀 Step-by-Step Quick Tutorial

1. Create Your Server on Kaggle

1. Go to Kaggle.com and sign in or create a free account.
2. Click Create > New Notebook.
3. In the right sidebar (Settings), toggle Internet ON.
4. Under Accelerator, select GPU T4 x2 (this activates 32 GB VRAM).

2. Install Ollama & Cloudflare Tunnel

1. In your Notebook cells, run the commands to install dependencies and Ollama.
2. Start the Ollama server and pull your desired model (e.g., !ollama run qwen2.5-coder:latest).
3. Install Cloudflare Tunnel (cloudflared) to expose your local server API securely via a public temporary URL.

3. Connect to Visual Studio Code

1. Copy the public URL generated in the Cloudflare terminal output.
2. Open VS Code, navigate to the Cline extension settings.
3. Under API Provider, select OpenAI Compatible.
4. In Base URL, paste your Cloudflare link appending /v1 at the end (e.g., https://your-temp-url.trycloudflare.com/v1).
5. In Model ID, enter your model identifier (e.g., qwen2.5-coder:latest).

---

🔗 Useful Registration Links

• Kaggle Platform: https://www.kaggle.com
• VS Code Download: https://code.visualstudio.com

Pro Tip: Cloudflare URLs are temporary. Each time you restart your Kaggle Notebook, simply copy the newly generated link into your Cline extension settings.

Method Credits: Based on the tutorial by Tech2AI (Watch original video on YouTube).

---

🏷️ Relevant Hashtags

#ArtificialIntelligence #MachineLearning #Kaggle #Ollama #VSCode #Cline #DeepSeek #Qwen #FreeGPU #VRAM #AIProgramming #Tech2AI #DevTools #OpenSourceAI #CodingCommunity