软件优先的方法ai在边缘

Tim MamtoraChief of Innovation & Engineering,ImaginationSpeaker:A software-first approach to… Huge societal opportunity for AI to “do good”Source: IDC, #US50888824, May 2024Worldwide Edge Endpoint AI Processor and Accelerator Forecast, 2024–2028Challenges at the edge are all too familiarThe biggest lesson that can be read from 70 years of AI research is that general methods that leverage computation are ultimately the most effective, and by a large margin”Two key lessons: Scalable and OpenDirectly competing with open source is a losing proposition…Open-source models are faster, more customizable, more private and pound-for-pound more capable”•Hotspot management challenges•Silicon integration challenges with increasing transistor count per device•IP selection and supply challenges beyond 2nm•Heterogenous programming challenges•Simpler thermal management•More tractable silicon integration whether monolithic, 2D or 3D•Simpler IP management scenario•It scales!•It’s simple to use!Traditiona