Cloud Computing

Today at Google Cloud Next, we’re thrilled to announce Firestore with MongoDB compatibility, built from the ground up by Google Cloud. It provides developers with an additional choice for their demanding document database workloads. MongoDB compatibility has been a highly-requested capability from Firestore’s existing community of over 600,000 active developers. With this launch, Firestore developers […]

Today we’re unveiling new AI capabilities to help cloud developers and operators at every step of the application lifecycle. We are doing this by: Putting applications at the center of your cloud experience, abstracting away the infrastructure complexities of the traditional cloud model. Now you can design, observe, secure, and optimize at the application level,

Generative AI continues to capture our imagination and promises to transform every industry. Its transformative potential hinges on integrating powerful models like Gemini, with the most contextually-relevant enterprise data. Google Cloud is leading this transformation, not only by delivering the gen AI technologies themselves, but also by embedding those technologies directly into operational databases. For

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.