Cloud Computing

Vertex AI is now the only platform with generative media models across video, image, speech, and music

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 […]

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Vertex AI offers new ways to build and manage multi-agent systems

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

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Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation

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

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Bringing Gemini and Google Agentspace to you on-premises

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. 

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What’s new for Data Analytics in the AI driven, autonomous and agentic era

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

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Google’s AI-powered next-generation global network: Built for the Gemini era

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

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Driving enterprise transformation with new compute innovations and offerings

In the last 12 months, we’ve made incredible enhancements to our Compute Engine platform. This is driven most notably by new fourth-generation compute instances and Hyperdisk block storage as well as major customer experience enhancements. Across all workloads, Google Cloud’s compute portfolio can help you optimize your performance and costs, while delivering enterprise-grade scalability, reliability,

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Introducing Firebase Studio and agentic developer tools to build with Gemini

Millions of developers use Firebase to engage their users, powering over 70 billion instances of apps every day, everywhere — from mobile devices and web browsers, to embedded platforms and agentic experiences. But full-stack development is evolving quickly, and the rise of generative AI has transformed not only how apps are built, but also what

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