
Optimizing AI Inference with Edge Computing
Discover how edge computing can speed up AI inference. Learn how offloading tokenization and RAG to the edge improves latency, reduces costs, and enhances user experience.
Khaled is a research engineer interested in distributed algorithms and machine learning models.
He began working in academia after his PhD on distributed algorithms and moved to designing and serving R&D projects in the industry around Machine Learning models. He worked across different sectors ranging from Finance to Manufacturing.
Today at Edgee, he works on the intersection of distributed systems and AI.
Discover how edge computing can speed up AI inference. Learn how offloading tokenization and RAG to the edge improves latency, reduces costs, and enhances user experience.
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