Innovation Timing

Itanium didn’t fail because the hardware was bad. Its VLIW architecture demanded compiler optimizations that were combinatorially explosive — exactly the kind of problem machine learning is now learning to solve. The death spiral of poor compilers, poor performance, and low adoption wasn’t a verdict on the architecture. It was a verdict on the tools available in 2001. Two decades later, those tools are being built.