Distributed inference: how AI can turbocharge the edge
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For several years, edge compute has been a key part of the 5G value proposition for telecoms operators selling into industries – even before AI. However, AI adds a new dimension to the value of edge through distributed inference, with several attributes now supporting the rationale and business case for operators. These include speeding up AI inference by reducing compute time, ensuring data sovereignty and security, deterministic services, and cost savings versus cloud.
Potential use cases could help generate revenues or save costs, but all connect to using the power of AI inferencing and advanced network capabilities. This report offers new data analysis and insights to help drive the conversation on how AI can help turbocharge the edge.
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