Nilesh Jaiswar@nileshjaiswar

AMD Port Studio is an AI-powered developer platform that accelerates the migration of machine learning applications from the NVIDIA CUDA ecosystem to AMD ROCm. As AI projects become increasingly dependent on CUDA-specific libraries, GPU APIs, and container configurations, migrating to AMD hardware is often a complex, time-consuming, and error-prone process. AMD Port Studio transforms this challenge into a structured, explainable workflow. Developers simply provide a GitHub repository or upload a ZIP archive, and the platform automatically scans the codebase to detect CUDA usage, identify NVIDIA-specific dependencies, evaluate ROCm compatibility, estimate migration effort, and generate actionable migration guidance. Rather than relying solely on AI, AMD Port Studio combines deterministic rule-based analysis with AI-assisted recommendations, ensuring results remain transparent, reproducible, and trustworthy. The platform features an interactive Command Center and Migration Workspace, providing compatibility scores, migration readiness, dependency visualization, confidence indicators, blockers, recommendations, patch suggestions, deployment guidance, Dockerfile generation, and exportable HTML, PDF, and JSON reports. It also includes a repository-aware AI assistant powered by Gemini or Fireworks AI with retrieval-augmented ROCm knowledge for contextual migration guidance. AMD Port Studio is fully containerized using Docker Compose, making it easy to deploy and evaluate. Rather than replacing developers, it serves as an intelligent migration copilot that helps engineering teams reduce migration risk, understand compatibility challenges earlier, and accelerate AMD adoption with confidence. By combining deterministic code analysis, AI-assisted planning, and a developer-focused experience, AMD Port Studio transforms what is traditionally a manual migration process into a faster, more explainable, and efficient workflow for adopting AMD's AI ecosystem.

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