Inference

KAITO and KubeFleet: CNCF Is Reshaping AI Inference Infrastructure

CNCF is standardizing AI inference infrastructure for scalable deployment in multi-cluster Kubernetes environments through KAITO and KubeFleet.

Building Efficient LLM Inference with the Cloud Native Quartet: KServe, vLLM, llm-d, and WG Serving

Essential reading for cloud native and AI-native architects: how KServe, vLLM, llm-d, and WG Serving form the cloud native ‘quartet’ for large model inference, their roles, synergy, and ecosystem trends.

The Impact of Istio 1.28 on LLM Inference Infrastructure

Deep dive into Istio 1.28: How InferencePool, Ambient Multicluster, nftables, and Dual‑stack enhance observability, reliability, and high-concurrency networking for LLM inference infrastructure.

The Natural Fit Between AI Inference and Kubernetes

Explore why Kubernetes is the ideal runtime for AI inference — delivering elastic, cost-efficient, low-latency model serving with GPU-aware autoscaling, versioning, and observability.