The conversation around large language models has shifted. The frontier is no longer defined solely by parameter counts or training compute, but by the economics and ergonomics of inference. Developers are building agentic systems, processing million-token contexts, and deploying multimodal pipelines. These workloads expose the friction of token-based billing and fragmented provider landscapes. The next phase of AI infrastructure will be defined by predictable pricing, unified endpoints, and ope...