Introducing the AlloyDB Omni web UI for easier cluster observability
Google Cloud launched a read-only web interface for AlloyDB Omni to simplify PostgreSQL cluster monitoring across on-premises, edge, and multi-cloud environments.
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Google Cloud launched a read-only web interface for AlloyDB Omni to simplify PostgreSQL cluster monitoring across on-premises, edge, and multi-cloud environments.
Google Cloud introduces a self-managed VMware solution on dedicated bare metal, complementing its managed VMware Engine to offer enterprises greater operational control and architectural flexibility for VMware workloads.
Google Cloud and Oracle expand their AI integration, enabling enterprises to build autonomous workflows by unifying Oracle databases with Google Cloud’s AI and data ecosystem, including BigQuery and Gemini Enterprise.
Google Cloud introduces Universal Ledger to help banks issue tokenized deposits, enabling real-time payments without disrupting core systems or stablecoin risks.
Google Cloud introduces IAM Helper, a suite of agent-facing tools to automate complex Identity and Access Management workflows, reducing security friction in autonomous agent deployments.
Google Cloud integrates LookML semantic models into Knowledge Catalog, enabling AI agents to access both governance and precise business logic for accurate data interpretation.
Google Cloud now offers two deployment options for Anthropic’s Claude models, expanding model choice and consolidating AI workloads under unified billing.
Google Cloud’s Knowledge Catalog now offers self-learning context enrichment and a new Knowledge Studio interface to automate and govern agent context, reducing manual upkeep and improving accuracy.
Google introduces Agent Compute Engine, a new cloud service designed to support AI agents with isolated, persistent microVMs, addressing scalability and security challenges in agentic AI workloads.
Google Cloud introduces Agent Compute Engine and expanded agent governance to securely scale autonomous AI agents across environments, addressing infrastructure and security challenges for enterprise deployment.
Google Cloud’s BigQuery now supports ObjectRef in GA, enabling native multimodal analytics by linking unstructured data directly in SQL tables alongside structured data.
ZenteiQ increased batch inference throughput 4.07x and daily token output from 1.47 billion to 5.97 billion using GKE Inference Gateway and llm-d, accelerating scientific foundation model training.
Google Cloud alerts PHP users to two critical core language vulnerabilities, CVE-2026-109618 and CVE-2026-109619, urging immediate updates to PHP 8.2 or newer to prevent remote code execution and memory disclosure risks.
Google Cloud integrates OpenAI’s latest models into its unified enterprise AI platform, expanding model choice and governance for customers.
Google Cloud and NVIDIA announced new infrastructure updates at NVIDIA GTC Berlin 2026 to support scalable agentic AI workflows, including A5X instances, sovereign AI capabilities, and Confidential Computing...
Google Cloud announces general availability of Confidential G4 instances with NVIDIA Blackwell GPUs, offering hardware-backed security for AI workloads across 36 global zones while maintaining near-native performance.
Google Cloud now offers Claude Opus 5.5 and Sonnet 5.5 in Antigravity, enabling developers to select models based on task complexity, cost, and speed within a unified enterprise environment.
Google and partners released llm-d 1.0, an open-source Kubernetes stack for distributed LLM inference, addressing multi-step agent workloads that overwhelm single-machine setups.
Google open-sources TorchTPU, enabling native PyTorch execution on TPUs with minimal code changes, expanding hardware choices for AI workloads.
Google Distributed Cloud air-gapped now supports enterprise search with Gemini, open-weight models, and ISV applications, enabling sovereign AI deployments without performance tradeoffs.
Google introduces Gemini for government services in preview, offering an AI agent tailored to public sector workflows with built-in governance and secure system integration.
Google Cloud and RemotiveLabs introduce a cloud-native approach to develop and test entire virtual vehicles, including microchips and control modules, enabling faster software-defined vehicle integration before hardware...
Google introduces MCP Apps in Gemini Enterprise to enable interactive, visual workflows within chat, reducing latency and improving real-time collaboration for complex tasks.
Google Cloud adds native Python logging to BigQuery UDFs, enabling structured diagnostics in Cloud Logging without external tools, illustrated via an e-commerce pipeline example.
Google Cloud outlines why AI evaluators can be unreliable and proposes a three-step method to audit their quality before trusting their judgments.
Google has been recognized as a Leader in the IDC MarketScape for Agentic AI Platforms 2026, highlighting its enterprise-ready AI deployment capabilities.
Google Cloud and Wiz launched a managed runtime threat detection add-on for GKE clusters, integrating Wiz’s eBPF-based sensor directly into the platform to reduce operational overhead and improve security posture.
Google Cloud proposes a three-layer architecture to run compute-intensive biotech simulations while keeping proprietary data secure and workflows reliable.
Google outlines four evaluation engineering lessons from building the Cloud Developer plugin, emphasizing execution verification over final output and the need for dual live and plan-only testing.
Google Cloud outlines the SAVE method to engineer trustworthy generative media by separating research from creative tasks and enforcing verified inputs and structured checks.