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the integration of artificial intelligence directly onto devices at the edge of a network, like sensors, smartphones, or IoT devices. This allows for data processing and decision-making to occur locally, rather than relying on a central cloud or data center. This approach offers benefits like reduced latency, enhanced privacy, and increased efficiency for real-time applications.
AI applications will require low-latency, local compute for rapid inferencing and large scale data collection, triage, and engineering. Edge compute will therefore play a key role in AI app delivery. However it's not just about infrastructure - commercial scale for edge AI will depend on effective ecosystem collaboration models.
