
The global machine learning infrastructure has reached a critical tipping point where the raw acquisition of hardware no longer guarantees a competitive advantage in the race for artificial intelligence supremacy. While the public discourse remains focused on the total number of specialized chips a company manages to purchase, a silent crisis of inefficiency is hollowing out the productivity of even










