Cloud Computing

BigQuery under the hood: How Google brought embeddings to analytics

Embeddings are a crucial component at the intersection of data and AI. As data structures, they encode the inherent meaning of the data they represent, and their significance becomes apparent when they are compared to one another. Vector search is a technique that uncovers the relative meaning of those embeddings by evaluating the distances between

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How Lightricks trains video diffusion models at scale with JAX on TPU

Training large video diffusion models at scale isn’t just computationally expensive — it can become impossible when your framework can’t keep pace with your ambitions.  JAX has become a popular computational framework across AI applications, now recognized for its capabilities in training large-scale AI models, such as LLMs and life sciences models. Its strength lies

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Introducing Agent Sandbox: Strong guardrails for agentic AI on Kubernetes and GKE

Google and the cloud-native community have consistently strengthened Kubernetes to support modern applications. At KubeCon EU 2025 earlier this year, we announced a series of enhancements to Kubernetes to better support AI inference. Today, at KubeCon NA 2025, we’re focused on making Kubernetes the most open and scalable platform for AI agents, with the introduction

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GKE: From containers to agents, the unified platform for every modern workload

The past decade of cloud native infrastructure has been defined by relentless change — from containerization and microservices to the rise of generative AI. Through every shift, Kubernetes has been the constant, delivering stability and a uniform, scalable operational model for both applications and infrastructure. As Google Kubernetes Engine (GKE) celebrates its 10th anniversary, its

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Supporting Viksit Bharat: Announcing our newest AI investments in India

India’s developer community, vibrant startup ecosystem, and leading enterprises are embracing AI with incredible speed. To meet this moment for India, we are investing in powerful, locally-available tools in India that can help foster a diverse ecosystem, and ensure our platform delivers the controls you need for compliance and AI sovereignty. Today, we’re announcing a

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Zeotap’s big win: 46% TCO reduction and enhanced real-time performance with Bigtable

In today’s fast-paced, data-driven landscape, the ability to process, analyze, and act on vast amounts of data in real time is paramount. For businesses aiming to deliver personalized customer experiences and optimize operations, the choice of database technology is a critical decision. At Zeotap — a leading Customer Data Platform (CDP) — we empower enterprises

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Running high-scale reinforcement learning (RL) for LLMs on GKE

As Large Language Models (LLMs) evolve, Reinforcement Learning (RL) is becoming the crucial technique for aligning powerful models with human preferences and complex task objectives. However, enterprises that need to implement and scale RL for LLMs are facing infrastructure challenges. The primary hurdles include the memory contention from concurrently hosting multiple large models (such as

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Achieve better AI-powered code reviews using new memory capabilities on Gemini Code Assist

The best feedback during a code review is specific, consistent, and understands the history of a project.  However, AI code review agents today are often stateless; they have no memory of past interactions. This means you might find the same feedback on new pull requests that you’ve rejected before, because the agent can’t learn from

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