🚀 8x Faster Than ONNX Runtime: Zero-Allocation AI Inference in Pure C#

The Myth: "C# is too slow for AI" For years, the narrative has been the same: if you want high-performance AI, you must use C++ or Python wrappers (like PyTorch/ONNX) that call into native kernels. The common belief is that the Garbage Collector (GC) and the overhead of the "managed" environment make C# unsuitable for ultra-low latency inference. I decided to challenge that. By leveraging the latest features in. NET 10, AVX-512 instructions, and strict Zero-Allocation patterns, I built Overfit - an inference engine that outperforms ONNX Runtime by 800% in micro-inference tasks.