Use the header search or filters below.
This week at Google Cloud Next ‘26, we are sharing the evolution of Google Kubernetes Engine (GKE), delivering leading performance, efficiency, security, and scale for your most demanding and complex workloads, and the next generation of AI and agentic applications. Why it matters: Kubernetes has rapidly become the operating system for the AI era, with GKE now powering AI workloads for all of our
Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren't designed to catch. Prompt injec
In the world of AI/ML, data is the fuel that drives training and inference workloads. For Google Kubernetes Engine (GKE) users, Cloud Storage FUSE provides high-performance, scalable access to data stored in Google Cloud Storage. However, we learned from customers that getting the maximum performance out of Cloud Storage FUSE can be complex. Today, we are excited to introduce GKE Cloud Storage FUS
In today's agentic AI environments, the network has a new set of responsibilities. In a traditional application stack, the network mainly moves requests between services. But as discussed in a recent white paper, Cloud Infrastructure in the Agent-Native Era , in an agentic system the network sits in the middle of model calls, tool invocations, agent-to-agent interactions, and policy decisions that
As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises today typically face a binary choice: build for high-concurrency, low-latency real-time requests, or optimize for high-throughput, "async" processing. In Kubernetes environments, these requirements are traditionally handled by separat
In dynamic cloud environments, unexpected traffic spikes or scheduled scaling events can easily strain user workloads. Whether you’re running a retail application during a flash sale or a gaming platform during peak player activity, your business-critical workloads need to scale up quickly and smoothly to handle new load. In fact, having compute capacity that is immediately available when you need