A new technical guide demonstrates how to accelerate matrix multiplication in Swift from Gflop/s to Tflop/s. The author leverages Metal and GPU kernels to bypass standard CPU bottlenecks. This provides a blueprint for developers building local inference engines. It is a niche optimization effort rather than a broad architectural shift.