YOUSUN Axion

YOUSUN Axion is an AI-powered developer platform built to help teams prepare AI workloads for AMD GPU environments. Many AI projects are still written with CUDA-specific assumptions, heavy FP32 memory usage, unclear benchmark results, and limited ROCm readiness. YOUSUN Axion solves this by giving developers a complete workflow instead of only generic suggestions. The platform scans AI code or error logs, detects CUDA/ROCm compatibility issues, identifies memory and precision problems, and gives an AMD readiness score. It then acts like an autonomous GPU engineer by diagnosing the root cause, recommending practical optimizations, generating code-level patch suggestions, and comparing before/after performance. YOUSUN Axion focuses on real developer needs: reducing debugging time, improving deployment confidence, and making AMD GPU migration easier. It can recommend changes like using BF16 precision, reducing batch size, replacing hardcoded CUDA usage, enabling inference mode, and preparing workloads for ROCm-based execution. The project also includes a benchmark and reporting layer. It can show latency, throughput, memory usage, readiness improvements, and generate a professional AMD Readiness Report that developers can share with teams, clients, or judges. In simple terms, YOUSUN Axion helps developers move from broken, slow, or non-optimized AI workloads to AMD-ready, optimized, benchmarked deployments. It is designed for AI developers, ML engineers, MLOps teams, and builders who want a clearer path to running AI applications on AMD infrastructure.