What are computers for AI agents?

AI agents require an execution environment to perform tasks beyond simple text generation, such as executing code, calling APIs, and interacting with external systems. Although developers often use local machines during the development phase, production AI agents typically operate within isolated cloud sandboxes to ensure security, scalability, and governance. These sandboxes provide strong isolation, fast startup times, and automatic cleanup, which are crucial for managing the complex infrastructure required for AI agent deployment at scale. Northflank offers a platform that integrates various essential components, such as sandbox environments, GPU workloads, networking, and secrets management, to facilitate the secure and efficient operation of AI agents. While containers are common in application deployment, sandboxes are preferred for AI agents due to their enhanced isolation capabilities, preventing one agent's actions from compromising another and maintaining credential security. Northflank's platform supports microVMs for stronger isolation and provides a unified control plane for executing AI workloads, combining both the reasoning and execution layers necessary for AI agents to function effectively in production environments.

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