This post is a collaboration between Docker and Arm, demonstrating how Docker MCP Toolkit and the Arm MCP Server work together to scan Hugging Face Spaces for Arm64 Readiness.
In our previous post, we walked through migrating a legacy C++ application with AVX2 intrinsics to Arm64 using Docker MCP Toolkit and the Arm MCP Server – code conversion, SIMD intrinsic rewrites, compiler flag changes, the ...
This collaboration between Docker and Arm addresses a critical but often overlooked barrier in AI deployment: the silent failure of x86-specific dependencies on Arm64 hardware. The MCP toolchain doesn’t just diagnose problems—it reveals a systemic blind spot in software development, where "it works on my machine" translates to "it only works on x86." The ACE-Step v1.5 case study is particularly instructive because the failure wasn’t in the code or Dockerfile but in a single hardcoded URL, a prob...