Cloud Computing

ZenteiQ scales batch inference 4x with GKE Inference Gateway powered by llm-d

Today we hear from ZenteiQ, an artificial intelligence startup spun out of the Indian Institute of Science (IISc) and selected under the IndiaAI Mission to build sovereign scientific foundation models from the ground up. To pre-train models that understand physical laws, governing equations, and numerical solvers, ZenteiQ designed and built a large-scale batch synthetic data-generation […]

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Responding to core PHP vulnerabilities CVE-2026-109618 and CVE-2026-109619

Editor’s note: This blog was updated on Oct. 23, 2026 at 3:20 p.m. PDT, with additional guidance from Mandiant Consulting on monitoring, patching, and remediation. We have previously updated the blog on Oct. 22, 2026, with revised guidance for Security Command Center and Cloud Armor, and on Oct. 21, 2026. PHP and Wiz Research disclosed

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Google Public Sector increases partner investments for frontline adoption

Partnership is at the core of Google Public Sector’s mission to empower government agencies and education institutions with transformative, mission-aligned solutions. We recognize that we can only scale our impact through a thriving, highly capable partner community. At today’s Partner Connect at Google Public Sector Summit, we are introducing enhanced partner initiatives focused on fostering

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Google Cloud expands model choice and flexibility, bringing OpenAI models to customers

Google Cloud has always been defined by choice, enterprise-grade governance, and market-leading price-performance. Key to the foundation of openness and choice is giving customers flexibility to run agentic workloads across their choice of models and infrastructure to achieve the right balance of cost, capability, and performance. Today, we are expanding that foundation by launching OpenAI

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Google Cloud and NVIDIA expand co-engineering collaboration to scale infrastructure for the agentic era

As enterprises transition to continuous, multi-step agentic workflows, traditional infrastructure is hitting its limits. But raw performance is only part of the equation. To truly scale agentic AI, enterprises also need the flexibility to run the right models for the right tasks, alongside the data and operational sovereignty required to maintain verifiable control over both

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Announcing the AWS Digital Sovereignty Lens for the Well-Architected Framework

October 2026: This post was reviewed and updated for accuracy. Today we’re launching the AWS Digital Sovereignty Lens, a new Well-Architected lens providing customers with extended guidance for designing, building, and operating sovereign workloads on AWS. Customers tell us that digital sovereignty brings a unique set of challenges that existing architecture guidance doesn’t fully address.

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Introducing Google Cloud Modernize, transforming for (and with) AI

Today, we’re announcing Google Cloud Modernize, an end-to-end transformation portfolio to help enterprises collapse multi-year roadmaps with the power of AI. Google Cloud Modernize brings together Google Cloud’s proven migration and modernization tools, including Migration Center, Google Cloud VMware Engine, Google Cloud Mainframe Modernization and our new EKS-to-GKE Migration Agent, into a single portfolio. With

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AI21 achieves an 83% reduction in time-to-start for AI workloads with AI Hypercomputer

Editor’s note: AI21 Labs is a leading global AI lab with a long track record of building foundation models, most notably the Jamba family, and today focuses on specialized LLMs and agent optimization technology. By adopting Google Cloud AI Hypercomputer, AI21 cut high-priority job wait times from 72 hours to 12 and manual scheduling interventions

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