Cloud Computing

The AI era is here, fundamentally reshaping industries and demanding unprecedented network capabilities for training, inference and serving AI models. To power this transformation, organizations need global networking solutions that can handle massive capacity, seamless connectivity, and provide robust security.  At Next 25, we’re addressing these critical needs and enabling customers to build and deliver […]

Engineering teams can now build and scale AI applications more simply and with dramatically improved performance, thanks to a new partnership between Google Cloud and Anyscale. This collaboration will integrate Anyscale RayTurbo — a high-performance runtime for Ray — with Google Kubernetes Engine (GKE), creating a unified platform that acts as a distributed operating system

Today, we’re continuing to invest in generative media by adding Lyria, Google’s text-to-music model, to Vertex AI in preview with allowlist. With the addition of music, Vertex AI is now the only platform with generative media models across all modalities – video, image, speech, and music. This means you can build a complete, production ready

Like many of you reading this, I fancy myself a builder. I got my first taste of making a computer do something based on code I wrote into a TI-99  console when I was 8 years old and was hooked. In the four decades that have followed, I’ve seen hundreds, maybe even thousands of developers

Every enterprise will soon rely on multi-agent systems – multiple AI agents working together – even when built on different frameworks or providers. Agents are intelligent systems that can act on your behalf using reasoning, planning, and memory capabilities. Under your supervision, they can think multiple steps ahead and accomplish tasks across various systems. Multi-agent

The age of AI is now. In fact, the global AI infrastructure market is on track to increase to more than $200 billion by 2028.  However, working with massive data, intricate models, and relentless iterations isn’t easy, and adapting to this new era can be daunting. Platform engineering and infrastructure teams that have invested in

Today we are announcing that Gemini will be available on Google Distributed Cloud (GDC), bringing Google’s most capable models to on-premises environments, with public preview starting in Q3 2025. To do so, we’ve partnered with NVIDIA to bring our Gemini models to NVIDIA Blackwell systems that you can purchase through Google or your preferred channels. 

Today’s fast-paced environment demands more than just data access; it requires a real-time data activation flywheel. A new reality is emerging where AI, infused directly into the data landscape, works hand-in-hand with intelligent agents. These agents act as catalysts, unlocking insights for everyone, and enabling the autonomous, real-time action that’s critical for success. Google’s Data

The most exciting startups in the world are in Las Vegas this week, as Google Cloud Next kicks off with a major focus on how AI and cloud are powering the next great wave of innovation. Our AI-optimized infrastructure, our broad AI model offerings, and our deep relationships with founders around the globe have put

From answering search queries, to streaming YouTube videos, to handling the most demanding cloud workloads, for over 25 years, we’ve been relentlessly pushing the boundaries of network technology, building a global infrastructure that powers Google and Google Cloud for billions of users and enterprise customers globally. We now stand at another pivotal moment, driven by