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Disclaimer: This video is intended for general informational and educational purposes only. It does not constitute professional advice, nor does it create any professional relationship. For personalized guidance, consult a qualified professional. The creator of this video disclaims all liability for any actions taken based on its content. In this video, I share my personal experience setting up and running DeepSeek R1 with the Intel Arc B580 GPU via Ollama. I cover everything from installing Intel GPU drivers and configuring the system to benchmarking the DeepSeek-R1-Distill-Qwen-14B model and comparing its performance and cost-effectiveness against OpenAI services. With a theoretical savings of $10,936.68 per year using a local setup, this $249 upfront investment proved to be a powerful, flexible, and cost-effective alternative for AI research and development. Please note, this video documents my experience and is not intended as advice or instructions. All tools and links are provided in the description. Feel free to leave your questions in the comments, and don’t forget to like, share, and subscribe for more insights—thanks for watching! Links: https://www.intel.com/content/www/us/... https://www.anaconda.com/download/suc... https://github.com/intel/ipex-llm/blo... https://github.com/intel/ipex-llm/blo... https://github.com/deepseek-ai/DeepSe... https://ollama.com/library/deepseek-r... https://openai.com/chatgpt/pricing/ https://openai.com/api/pricing/