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Welcome to HUAWEI LABS! In this video, I’ll guide you step by step on how to install and deploy DeepSeek R1, one of the most trending models in AI right now. DeepSeek’s distillation model makes it possible to run low-cost, high-quality inference on local miniaturized hardware, enabling developers and researchers to use foundation models without relying on heavy cloud infrastructure. This exercise demonstrates how to deploy and run DeepSeek-R1 1.5B using Ollama on a CPU-based environment. The model has a compact size of about 1.1 GB, making it fast and easy to download. Once deployed, it delivers smooth and efficient performance even without a GPU. Through this guided exercise, you will learn step-by-step how to prepare the lab environment, install Ollama, and deploy the DeepSeek-R1 1.5B model. By the end, you will be able to interact with the model and experience its natural language capabilities in real time. What you’ll learn in this lab: Installing DeepSeek R1 Deploying the model for inference Understanding how distillation improves efficiency Running DeepSeek on local hardware for real use cases This tutorial is beginner-friendly and perfect for anyone preparing for Huawei Cloud labs, AI labs, or exploring open-source foundation models. 👉 Don’t forget to subscribe to HUAWEI LABS for more cloud labs, AI deployments, and trending tutorials. deepseek deepseek R1 tutorial deploy deepseek R1 install deepseek deepseek distillation model foundation models local deployment deepseek Huawei labs AI inference deployment AI on local hardware