Gartner expects global AI inference spending to reach $23.3 billion, ahead of the $19 billion allocated to training. Training develops model capabilities. Inference puts those capabilities to work in live applications, where every request creates an operational workload. As production demand scales, cost efficiency, latency and reliability become critical. This is what FAR AI is built to handle through distributed inference and designed for lower costs, lower latency and greater reliability. AI builders, join early access: farlabs.ai/join-as-ai-builde…