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Kubernetes Model Serving in 2026: What Changed Since 2024

情報源: Andrey Krisanov ·

Published: 2026-07-26 In October 2024, Yuan Tang published AI/ML Innovation in the Kubernetes Ecosystem . The article described three important developments: Kubeflow Model Registry, KServe ModelCars, and TrustyAI. It also pointed toward multi-node serving, inference-aware gateways, speculative decoding, low-rank adaptation (LoRA) adapters, and APIs designed for generative AI. Since then, Kubernetes model serving has developed into a stack of specialized control-plane and data-plane components. Kubernetes now has better primitives for distributing model files and allocating accelerators. Gatew

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