Arya Rakshit@aryarakshit

The Gemma 4 Finetuned CUDA-to-ROCm Kernel Translator is a specialized AI model designed to bridge the gap between NVIDIA's proprietary software stack and the open ROCm ecosystem. By finetuning Gemma 4 on large-scale datasets of high-performance computing code, the model moves beyond simple text replacement to provide a deep, semantic translation of GPU source code. It analyzes the logic within CUDA kernels to generate functionally equivalent code in HIP, ensuring that the resulting software can compile and execute natively on AMD hardware. This finetuned approach allows the model to handle complex code structures and library dependencies that traditional automated tools often miss, providing developers with a streamlined path for migrating performance-critical applications. By leveraging Gemma 4’s advanced reasoning capabilities, the translator identifies and resolves potential compatibility issues during the conversion process, maintaining the integrity and intent of the original CUDA source while enabling hardware flexibility.

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.