Google Cloud, currently holding a 12-14% market share behind AWS and Microsoft, is demonstrating rapid growth. The company reported 48% year-over-year revenue growth in Q4 2025, the fastest among major cloud providers, with cloud backlog surging 55%. This acceleration is attributed to AI, particularly Google's Gemini model and platforms like Vertex AI and BigQuery ML.
Analysts note Google possesses a complete AI stack, from silicon to data platforms, and holds an advantage with its leading frontier AI model. The upcoming Google Cloud Next event, from April 22-24 in Las Vegas, will explore how Google plans to integrate its assets and advance AI capabilities.
Kubernetes is expected to be a central theme, with Google Kubernetes Engine (GKE) positioned as the foundation for high-performance AI inference and training. Enhancements like GKE Autopilot and Inference Gateway, along with recent demonstrations of massive Kubernetes clusters and new FUSE profiles, highlight GKE's role in simplifying infrastructure and accelerating AI/ML workloads.
New developer tools, including the Application Design Center and Cloud Hub, aim to streamline application design and infrastructure management. Google's partnership with Nvidia on deploying generative AI models also underscores its commitment to developer velocity.
Demand for Google Cloud's Tensor Processing Units (TPUs) for AI acceleration is high, with major deals struck with Anthropic and Meta. While TPUs are in demand due to supply constraints, analysts suggest this reflects a broader market scarcity rather than a fundamental shift away from established players like Nvidia.
TheCUBE will provide live coverage and interviews from Google Cloud Next, featuring industry leaders discussing AI-native applications, agentic systems, and the future of cloud infrastructure.