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Galaxy AI is an intelligent desktop application designed to simplify the deployment and execution of large language models for developers, students, and AI enthusiasts. Instead of requiring users to understand complex hardware requirements, quantization methods, or deployment pipelines, Galaxy AI automatically analyzes the user's system specifications and recommends the most suitable AI models based on available CPU, GPU, RAM, VRAM, storage, and performance requirements. The platform supports both local deployment through Ollama and cloud deployment through AMD Developer Cloud, allowing users to seamlessly transition between running models on their personal hardware or leveraging enterprise-grade AMD Instinct MI300X GPUs for high-performance inference. Users can compare models, review estimated memory usage, expected inference speed, quantization levels, and runtime requirements before deployment. Galaxy AI also provides an intuitive deployment pipeline that guides users through each deployment stage, making AI infrastructure significantly easier to understand for beginners while still offering flexibility for experienced developers. By integrating hardware analysis, intelligent model recommendations, deployment management, and cloud acceleration into a single interface, Galaxy AI removes many of the traditional barriers associated with running modern large language models. The project demonstrates how AMD Developer Cloud can dramatically expand AI accessibility by enabling users with limited local hardware to deploy and experiment with advanced AI models using powerful cloud GPUs. Galaxy AI serves as a bridge between complex AI infrastructure and everyday users through a simple, user-friendly desktop experience.

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