You might be overcomplicating your deployment by assuming every AI feature requires a GPU. It is a common engineering grind to manage expensive and heavy infrastructure when it is not strictly necessary for your specific use case.

• Evaluate what your application actually does before scaling up.
• Most AI applications work perfectly well on CPU infrastructure.
• Focus on architecting AI into your existing workflow without the extra overhead.

Making the right decision for your application keeps your stack lean and your budget intact. It is about choosing the right tool for the job instead of following the hype.

Read how to architect your next AI project: