Yasser Lahlal@yasserirl

HIPForge is an AI-driven platform that helps developers migrate CUDA projects to AMD ROCm with less manual work. A developer can upload a single CUDA file or a complete project, choose the target AMD GPU architecture, and let HIPForge manage the migration process. HIPForge first scans the project to understand its source files, headers, dependencies, and build setup. It then uses AMD HIPIFY to translate CUDA code into HIP and compiles the migrated project with the real ROCm hipcc compiler. When compilation fails, HIPForge analyzes the compiler errors, creates a focused AI repair, checks that the patch is safe and limited, and retries the build. Unlike a basic code translator, HIPForge manages the full workflow from source code to a downloadable migrated project. It records compiler attempts, target architecture, code changes, validation results, cache evidence, and remaining warnings in a transparent report. HIPForge also clearly separates compilation from runtime testing. It never claims that a project is fully runtime-validated unless it was actually executed successfully on AMD hardware. Our goal is to reduce software lock-in and give developers, startups, researchers, and companies a practical bridge from existing CUDA software to AMD ROCm.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

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. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

🌉 On-site Only Hackathon | 📅 June 27–28, 2026 | 📍 San Francisco, CA This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 150 people, teams must include 3–5 members, and there is no online or hybrid participation. Build real-time AI apps that run directly on Snapdragon-powered mobile devices using ExecuTorch. Selected teams will get Samsung Galaxy S25 Ultra devices on-site for building, testing, and live demos. 📍 On-site Venue (June 27–28): The Web Data Loft by Bright Data 625 2nd St, San Francisco, CA 📱 Samsung Galaxy S25 Ultra devices provided on-site for selected teams 🧠 Learn from Qualcomm and Meta experts through workshops, mentorship, and hands-on support 🏆 Prizes include Meta Quest 3 headsets, Ray-Ban Meta AI Glasses, and post-event project support 🧑‍💻 Apply now to build the future of on-device AI with ExecuTorch and Snapdragon. Once pre-approved, you will receive further instructions on how to complete the acceptance process. Application deadline: June 17, 2026, at 11:59 PM PDT.