GenAI Deployment
The process of integrating, configuring, securing, and operating generative AI models within production applications or enterprise environments.
What is GenAI Deployment?
GenAI deployment involves moving a generative AI system from development and testing into a production environment. This can include hosting or connecting to models, configuring APIs, integrating enterprise data and applications, establishing access controls, and setting up monitoring. Deployment may use cloud-based models, self-hosted models, or a combination of both.
Why is GenAI Deployment Important?
Moving GenAI into production introduces requirements beyond model performance. Organizations need to consider scalability, latency, reliability, cost, data privacy, security, and governance. Appropriate deployment controls can also help protect applications from risks such as prompt injection, sensitive data leakage, and unsafe model outputs.
Common use cases
GenAI deployment is commonly used for enterprise assistants, chatbots, coding tools, RAG applications, content generation systems, customer support, and AI agents.