@aimanchughtai9829180

TITAN-ROCm is an autonomous AI-powered GPU optimization platform designed to improve the performance of PyTorch CUDA workloads through intelligent code analysis, iterative optimization, and real-time benchmarking. The system combines large language models, GPU profiling, and automated evaluation to simulate an intelligent performance engineering workflow. Users can input PyTorch CUDA code directly into the platform, where TITAN-ROCm analyzes the workload, identifies optimization opportunities, and generates multiple optimized code variants using an LLM-based optimization agent. Each generated variant is automatically benchmarked and evaluated based on key GPU performance metrics including latency, throughput, memory efficiency, and execution stability. The platform performs closed-loop optimization by continuously comparing generated variants and selecting the best-performing implementation through benchmark-guided evolution. Functional validation ensures that optimized code remains executable and preserves the original behavior while improving performance. TITAN-ROCm includes a professional Streamlit dashboard with: Real-time GPU benchmarking Optimization history tracking Throughput and latency visualization Side-by-side code comparison GPU information panel Downloadable optimized code LLM token and inference tracking Autonomous optimization reasoning The system is designed to demonstrate autonomous AI-driven performance engineering and intelligent CUDA optimization workflows for deep learning and GPU computing applications.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

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.