Edge computing is the practice of processing data close to where it is created or used, such as devices, local gateways or regional points of presence. It avoids sending everything to a central data centre or cloud region.
Public, private and hybrid cloud are the main cloud deployment models, describing where computing resources run and who shares them. Public cloud is shared provider infrastructure, private cloud serves one organisation, and hybrid connects the two.
Serverless computing is a cloud model where the provider runs code or services on demand and manages the servers behind them. Teams pay for actual usage rather than for idle capacity.
A content delivery network (CDN) is a distributed set of servers that caches and serves content from locations close to users. Pages, images, video and API responses load faster and origin servers carry less load.
Edge AI is running machine learning models directly on devices or local hardware instead of a cloud server. Phones, cameras, vehicles and factory gateways are typical hosts.
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