Building a Controllable Inference Platform on Kubernetes with AI Runway (opens in new tab)

When enterprises move generative AI from demos to real business workloads, the hardest question is usually not whether a model can answer a prompt. The harder question is whether the whole system can run reliably, predictably, securely, and economically over time. This becomes especially important as major model providers continue to adjust token pricing, context-window pricing, batching discounts, and model tiering. That is where AI Runway becomes valuable. It turns model deployment into a K...