.png&w=640&q=75)

Thousands of enterprise artificial intelligence projects are locked into NVIDIA hardware due to legacy CUDA code. Manually rewriting these scripts for new platforms is slow, expensive, and risky. ROCmForge solves this problem using a coordinated team of specialized agents. Built entirely on the AMD Developer Cloud, our backend uses vLLM to serve Qwen/Qwen2.5-Coder-7B-Instruct on an Instinct MI300X accelerator. The system analyzes repositories, cross-references local vector documentation, and applies native ROCm syntax. A testing agent then verifies the new code in an isolated sandbox and generates real performance benchmarks, proving compatibility before deployment.
10 May 2026