What are the main challenges of integrating AI in computer architecture?
Some key challenges include hardware limitations, energy efficiency, and the need for specialized architectures.
Can you elaborate on hardware limitations?
Certainly! Hardware limitations often stem from the need for high processing power and memory bandwidth to support AI workloads.
How does energy efficiency play a role in AI architecture?
Energy efficiency is crucial as AI models can be resource-intensive, leading to high operational costs and environmental impact.
What specialized architectures are being developed for AI?
Specialized architectures like TPUs (Tensor Processing Units) and neuromorphic chips are being developed to optimize AI performance.
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