A I Chips for Machine Learning

Some machine learning models can have trillions of perometers and require a massive number of specialized a i chips to run. Edge computers are significantly less powerful than the massive compute power that's located at data centers in the cloud. They need low power and specialized silicon, dedicated chips for neural nets - vidiag pus, cilenic f pus, gugl t pus. Older a i chips incur huge energy consumption costs that quickly balloon to unaffordable levels. State of the art a i chips are dramatically more cost effective as a result of their greater efficiency.