IIRC The M series chip isn’t specifically optimized for ML workloads, the biggest gain it has is having unified video and cpu memory as transferring layers between the two is a big bottleneck on non Apple systems.
Real ML hardware (like the Nvidia H1000s) that can handle the kind of inference traffic you see in production get hot and use quite a bit of energy, especially when they run at full blast 24/7
Real ML hardware (like the Nvidia H1000s) that can handle the kind of inference traffic you see in production get hot and use quite a bit of energy, especially when they run at full blast 24/7