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Google Cloud announced a native integration between its borderless Lakehouse and Gemini, enabling AI agents to query petabyte-scale data across clouds without moving it, while expanding Iceberg support and partner...
AI startup Visko deployed its real-time Live World Model, Orbis, on Google Cloud TPUs in 30 days, enabling continuous video and audio streaming at 1.07x playback speed for interactive applications.
Google Cloud enhances VPC Service Controls to simplify and scale perimeter security for autonomous agents and multi-project environments, improving data protection without added cost.
Google Cloud introduces Temporal Serverless Workers on Cloud Run, automating worker pool scaling for Temporal Cloud to match demand without manual cluster management.
Google introduced the Gemini agent at Gemini at Work 2026, offering startups a unified AI assistant and coworker agent to automate workflows and reduce operational overhead.
A threat actor compromised AOMEI Technology’s update servers in 2026 using brief, five-to-ten-minute configuration changes to deliver malware via trojanized updates, evading detection and targeting diverse sectors...
Google Cloud launches a Gemini Notebook to help CISOs and policymakers prepare for post-quantum cryptography, addressing urgent security shifts and migration timelines.
Google Cloud introduces daily token-based cost controls for BigQuery generative AI functions to help teams manage AI spending within budgets while enabling innovation.
Google Cloud introduces cross-cloud conversational analytics using open Apache Iceberg REST catalogs, enabling in-place queries across Databricks, Snowflake, and AWS Glue without data migration.
Google’s Agent Development Kit now supports Python, Go, TypeScript, Java, and Kotlin, enabling multi-language agent development with unified protocols and open standards.
Google’s Data Agent Kit integrates with IDEs to automate end-to-end data workflows, from ingesting raw logs to deploying fraud-detection pipelines in Airflow.
Google introduces TimesFM 3.0 in BigQuery, enabling native multivariate time-series forecasting directly in SQL without custom model training or infrastructure setup.
Google Cloud’s Looker introduces Data Apps to turn AI-generated prototypes into production-grade, governed applications without custom coding or new infrastructure.
Alteryx Live Query and Google Cloud BigQuery integrate to automate unstructured data workflows, enabling direct processing within BigQuery for improved efficiency and governance.
Google introduces a new AI agent, Gemini, designed to assist small and midsize businesses with workflow automation, cost control, and integration across familiar tools and platforms.
Irish organizations are deploying Google’s Gemini Enterprise to integrate agentic AI into workflows, modernize infrastructure, and drive economic growth, with measurable impacts across public and private sectors.
Google Public Sector and the State University of New York launched a secure AI platform on Google Cloud to accelerate university research and workforce training across nine campuses.
Google Cloud introduces the Gemini agent, a unified AI assistant for work that plans, executes, and delivers tasks across documents, code, and communications while integrating with existing enterprise systems and...
Google Cloud launched the Ultra Low Latency (ULL) Solution and U4 machine family to support high-frequency trading in the cloud with bare metal performance, deterministic compute, and sub-10 nanosecond timestamping.
Google Cloud released the MCP Toolbox Java SDK v1.0 to simplify enterprise AI agent integration with standardized, type-safe orchestration across Java environments.
Google Cloud outlines two reference architectures for networking AI inference model serving, one for GKE and one for other backends, emphasizing secure, scalable, and policy-enforced inference routing.
Google Cloud’s AlloyDB AI introduces a native hybrid search function to merge vector and full-text results in a single SQL call, reducing complexity and latency for AI applications.
Google Cloud launches Modernize, an AI-powered portfolio unifying migration tools to accelerate enterprise infrastructure and application upgrades with new compute options and automated Kubernetes migration.
AI21 Labs reduced AI workload wait times by 83% and eliminated manual scheduling by adopting Google Cloud’s AI Hypercomputer with Kueue and GKE.
Google Cloud introduces Spanner queues, a transactional messaging service embedded in Spanner, to simplify agentic workflows by ensuring atomic state updates and task execution within a single database transaction.
Google Kubernetes Engine introduces CPU startup boost to dynamically increase CPU during pod initialization and scale back afterward, reducing cold starts without over-provisioning resources.
Google Cloud details a two-tier memory architecture for enterprise AI agents using AlloyDB AI and Memorystore for Valkey to cut token costs by up to 70% while preserving user preferences across sessions.
Google Cloud Storage now enables end-to-end checksumming by default in all SDKs to protect data integrity during uploads and downloads, addressing vulnerabilities in transit.
Google Cloud introduces a Dynamic Tier for Managed Lustre, reducing costs to 6 cents per GB per month and enabling unified storage for AI and HPC workloads with sub-millisecond latency and linear throughput scaling.
Google Cloud launches an official Swift SDK for server-side development, enabling high-throughput microservices with compile-time concurrency safety and native access to over 100 Google Cloud services.