Mariam Memon@Mariam14

Our project focuses on bridging the gap between high-level agentic reasoning and low-level hardware optimization. Using the AMD ROCm software stack and AMD Developer Cloud infrastructure, we developed a system that enables AI agents to perform multi-step tasks—such as code generation and data analysis—with significantly higher throughput than standard CPU-bound implementations. The core of the project involves integrating vLLM optimized for ROCm to serve open-weight models like Llama 3.2 or Qwen-2.5. By utilizing AMD's parallel processing power, our agents can handle long-context reasoning chains without the typical latency bottlenecks. We also implemented a custom "Ship It" feedback loop, where technical updates are automatically documented, demonstrating a practical "Build in Public" workflow powered by the very hardware it describes.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.