Nayela Ehtesham@Nayela

Thousands of enterprise artificial intelligence projects are locked into NVIDIA hardware due to legacy CUDA code. Manually rewriting these scripts for new platforms is slow, expensive, and risky. ROCmForge solves this problem using a coordinated team of specialized agents. Built entirely on the AMD Developer Cloud, our backend uses vLLM to serve Qwen/Qwen2.5-Coder-7B-Instruct on an Instinct MI300X accelerator. The system analyzes repositories, cross-references local vector documentation, and applies native ROCm syntax. A testing agent then verifies the new code in an isolated sandbox and generates real performance benchmarks, proving compatibility before deployment.

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.