Tag: ai-infrastructure

Traditional API gateways count requests and measure response times, but AI applications need token-based rate limiting, multi-model routing, and granular cost attribution that tools like Kong Gateway and Apache APISIX now provide. With many enterprise AI projects getting cancelled over runaway costs, the API gateway pattern is essential for production AI workloads.

LLMOps success depends more on proven operations discipline than AI-specific tooling. With a large share of agentic AI projects facing cancellation in the next few years, the teams that survive apply Google SRE principles to LLM infrastructure rather than treating it as something that needs special handling.