Cloud Computing

At Google, our TPU design philosophy has always been centered on three pillars: scalability, reliability, and efficiency. As AI models evolve from dense large language models (LLMs) to massive Mixture-of-Experts (MoEs) and reasoning-heavy architectures, the hardware must do more than just add floating point operations per second (FLOPS); it must evolve to meet the specific […]

Today at Google Cloud Next, we are unveiling a more proactive Gemini Cloud Assist, our AI-assisted cloud operations platform. This update shifts your Google Cloud operations from manual workflows to a proactive, intelligent experience supported by a powerful ecosystem of agents. Why it matters: A new agentic architecture enables Gemini Cloud Assist to handle the

From vibe-coded and large-scale apps to AI models and agents, Cloud Run delivers on-demand compute with zero overhead and pay-per-use pricing for all of your workloads. Last year, the number of external active developers and applications on Cloud Run doubled, with more new customers and apps coming to Cloud Run in 2025 than in its

To act at the speed of business, AI agents must operate in fast and trusted reasoning loops. They need to “think” by reasoning across both your historical context and your live operational reality. Only by understanding this complete, real-time picture can they “do” — taking immediate action. For decades, data architectures have been built with

By combining the analytical depth of Looker with Google’s Agentic Data Cloud, the potential to transform how we model, interact with, and act on our data appears limitless. This week at Google Cloud Next, we are thrilled to share how we are reimagining the business intelligence (BI) stack with Looker for the AI era, starting

The era of agentic AI is accelerating from human- to machine-speed operations, while also creating profound stress on legacy technology infrastructure. This new reality pushes foundational systems to their limits: agents generate thousands of internal messages and complex queries, spawning more agents, all of which can rapidly overwhelm traditional networks and databases, and expose new

Today at Google Cloud Next, we’re announcing new capabilities in Google Distributed Cloud (GDC) that bring Gemini and our advanced AI stack to wherever your data is, so you don’t need to compromise between AI innovation and sovereignty. This will serve as a catalyst for a sovereign neocloud architecture.  GDC brings Google Cloud to wherever

AI is evolving from answering questions to reasoning and taking action. Companies who want to lead in today’s agentic era require computing infrastructure designed and optimized for these new requirements. Today at Google Cloud Next, we are introducing new AI infrastructure capabilities that help you innovate faster, deliver compelling user and customer experiences, and optimize

aside_block <ListValue: [StructValue([(‘title’, ‘Our news today from Next ‘26’), (‘body’, <wagtail.rich_text.RichText object at 0x7fdb342b3160>), (‘btn_text’, ”), (‘href’, ”), (‘image’, None)])]> The AI era demands a new security era. Organizations are facing the dual challenge of harnessing the potential of AI while defending against its malicious use, and Google Cloud can help you adapt and thrive.

Security teams are frequently burdened with manually stitching together telemetry, alerts, and response playbooks. This fragmentation can limit visibility, increase alert fatigue, and slow down investigations. Defending the modern enterprise requires tools that work together. Today at Google Cloud Next, we are thrilled to announce a robust cohort of new partner integrations for Google Security