Deploying AI isn't just about code; it's about managing infrastructure that can handle the unpredictable demands of large language models.
1Edge vs. Serverless
Edge functions run in data centers physically closest to your user, drastically reducing the 'time to first byte'. For AI streaming, this is critical. However, standard Serverless functions offer more memory and longer execution times, which are necessary for complex data processing or generating images.
2The Security Layer
In the AI world, your API key is your wallet. If it's leaked, you're responsible for the bill. Professional deployment involves strict environment variable management. Always rotate your keys, use restricted permissions, and never commit a .env file to your repository.
