Evolution of Chip Architecture
The discussion highlights the evolution of compute architectures from the traditional von Neumann model to specialized accelerators, driven by the limitations of Moore's law and power consumption. Krishna emphasizes the need for application acceleration in edge markets, where power constraints necessitate innovative approaches, such as their heterogeneous compute platform. The conversation underscores the importance of adapting AI technologies to meet the unique demands of edge computing environments.In this clip
From this podcast
Eye on AI
Why Edge AI is the Next Big Thing in Tech | Krishna Rangasayee (SiMa.ai)
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