Interesting. Archive: https://archive.today/dNiZw From the post: >>When you're running large-scale inference workloads, infrastructure needs shift constantly and with drastic proportions. Standard DNS (Domain Name System) and basic load-balancing strategies work well for websites, but they crack under the demands of real-time AI systems. Large Language Models (LLMs), image/video generation pipelines, and agentic runtimes don’t just want an IP address. They want the right backend, fast, with minimal latency, and high availability across volatile compute resources to serve the end-user — because the result was expected 50 ms ago right after they clicked “Generate.”