Tanya Saxena @tanny_

AMD Hardware Advisor is an AI-powered hardware research assistant designed to help developers and AI/ML engineers make informed decisions about AMD hardware. Using Retrieval-Augmented Generation (RAG), the application retrieves relevant passages from official AMD documentation to answer technical questions with traceable source citations. Users can explore a structured hardware catalogue, compare supported products side by side, and receive workload-based hardware recommendations with clear rationales. The project combines a Python backend, local semantic embeddings, a persistent vector database, and configurable LLM inference. Its key focus is trustworthy, source-grounded answers rather than unsupported hardware specifications. The system also includes an AMD inference-provider integration and verification mechanism to distinguish confirmed AMD execution from an unverified or local fallback. AMD Hardware Advisor brings hardware research, technical Q&A, product comparison, and AI workload selection into one unified interface.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.