AI Gateway Architecture on AWS: Controlling Models, Cost and Governance at Scale
Most AI architectures start with a simple model call.
Most AI architectures start with a simple model call.
Most AI security discussions start with prompt injection, data leakage and guardrails.
Moving an LLM application from prototype to production requires more than selecting the right model.
Most teams do not discover LLM inference costs during the proof of concept.
Most GenAI architecture decisions start with the model, but production systems rarely fail because...
A working AI product is not always a production-ready AI platform.
Most teams don’t start with DevOps as a Service.
AWS costs rarely spike overnight.
Most RAG systems don’t fail because of the model.