HIP-Hop: CUDA to AMD Migration Swarm

The Problem: The CUDA Lock-in For years, developers have written parallel computing and AI workloads using NVIDIA's CUDA. As AMD's ROCm ecosystem and powerful MI300X GPUs enter the market, companies want to migrate to avoid vendor lock-in and reduce compute costs. However, manually translating thousands of lines of legacy CUDA C++ into AMD's HIP (Heterogeneous-compute Interface for Portability) syntax is a massive bottleneck. It requires specialized engineers and hundreds of hours of manual code review. The Solution: HIP-Hop Swarm HIP-Hop is a multi-agent AI system built to automate the migration from NVIDIA to AMD infrastructure. Built using CrewAI, it leverages specialized agentic personas to handle the conversion pipeline end-to-end. How It Works (The Agentic Workflow): The Analyzer (Senior Architect): Scans legacy.cu files, mapping out proprietary NVIDIA APIs, memory allocations, and kernel launch syntaxes. The Translator (Migration Specialist): Uses RAG against official AMD HIPIFY documentation to accurately port the identified CUDA syntax into valid HIP C++ code. The Reviewer (QA Engineer): Validates the translation, ensures correct library imports, and generates a clean Markdown report detailing exactly what changed. By utilizing autonomous AI agents powered by a Llama 3.2 model running locally on an AMD MI300X droplet, HIP-Hop drastically reduces the friction of adopting AMD hardware, proving that intelligent workflows can solve complex enterprise infrastructure problems.