Come To Think of It...

I have a soft spot for infrastructure stories that accidentally tell the truth. Google’s recent GKE Inference Gateway push is one of those. Under the polite product language, the real message is that AI serving has become a utilization fight. The glamorous version of the industry story is still about smarter models and bigger capabilities. The practical version is that companies bought very expensive accelerators and are now trying to keep them busy without wrecking latency for the users who actually show up. That is why Google keeps talking about shared accelerator pools, inference-aware routing, cache locality, and separating real-time from async work without isolating them into totally different worlds. The pitch is not “behold, intelligence.” The pitch is “please stop turning GPUs into decorative heaters between traffic spikes.” Frankly, that is a healthier conversation. The other reason this matters is that Google is being unusually direct about the tradeoff surface. In the effici...