A cloud artificial intelligence agent executes outside a user's laptop in a remote environment with allocated processors, storage, networks, tools, and lifecycle management. It can continue while the local device disconnects and can scale beyond local memory or compute limits.
Remote execution introduces security and operational boundaries. The service must isolate tenants, protect credentials and source code, restrict network access, expose status and logs, preserve recoverable state, and make costs and shutdown behavior clear.
Acronyms and aliases
cloud AI agent acronymremote cloud agent variant
Specialised terms
Related terms
Frequently asked questions
Why run an artificial intelligence agent in the cloud?
Cloud infrastructure can provide more compute, parallelism, availability, managed tools, and continuity than a user's local device.
What risks come with a cloud artificial intelligence agent?
Risks include credential exposure, source-code access, network side effects, cross-tenant leakage, cost growth, and unclear persistent state.
