All news with #google cloud tag

🧭 Oracle AI Database@Google Cloud brings Oracle's mission-critical databases natively into Google Cloud to enable direct pipelines from enterprise records to the AI layer. The announcement expands regional availability, introduces an Oracle AI Database Agent for Gemini interaction, and integrates with Database Center, Knowledge Catalog, OCI GoldenGate, and VPC Service Controls. These features aim to lower latency, simplify governance, and make Oracle data actionable for agentic AI workflows.

🤖 Google announced its AI Hypercomputer — a unified infrastructure stack built to support agentic AI — at Google Cloud Next. The announcement bundles new hardware and software, including TPU 8t and TPU 8i, A5X GPU instances, Axion N4A CPUs, the Virgo Network, and major storage and GKE upgrades. Google says the stack is designed to accelerate training and inference, reduce latency, and improve cost and energy efficiency for large-scale, agent-native applications.

🚀 Google Cloud is expanding its partner ecosystem to accelerate the Agentic Enterprise with new funding, technologies, and integrations. The company announced a $750 million innovation fund and the Gemini Enterprise Agent Platform with an Agent Gallery to surface vetted partner-built agents. It is deepening technical alliances with global consulting firms, embedding forward deployed engineers with integrators, and extending Gemini across major SaaS platforms to speed enterprise adoption.

🛡️ Google Cloud and Wiz outline agentic defenses, platform protections, and integrations to secure AI and multicloud workloads. At Next '26 they introduced preview and GA features including Threat Hunting, Detection Engineering, and Triage and Investigation agents, plus the Gemini Enterprise Agent Platform for agent governance. These innovations aim to automate detection, reduce analyst toil, and protect AI development and runtime across clouds and SaaS environments.

🚀 Google announced a broad set of updates to Cloud Run to accelerate full‑stack app delivery, agent hosting, and high‑performance inference. New capabilities include full‑stack app deployment from AI Studio, a fully managed remote MCP server, and integration with the Gemini Enterprise Agent Platform. High‑end NVIDIA RTX PRO 6000 Blackwell GPUs are now GA, while instance primitives, SSH access, ephemeral sandboxes, and billing caps are rolling out in preview or coming soon.

🛡️ Google Cloud has launched Fraud Defense, a trust platform that advances reCAPTCHA to address risks from autonomous AI agents as well as traditional bots and human fraud. The offering includes agentic activity measurement, an agentic policy engine for granular controls across the customer journey, and an AI-resistant QR code challenge to request human presence when needed. It integrates industry standards such as Web Bot Auth and SPIFEE and leverages Google’s global signals to enable largely invisible verification for legitimate users. Existing reCAPTCHA customers are automatically included with no migration or pricing changes.

🚀 Google Cloud at Next '26 introduced a cross-cloud infrastructure blueprint designed for the agentic AI era, combining fluid compute, secure cross-cloud connectivity, a unified data layer, and digital sovereignty. Announcements include new CPU families (C4N, M4N with Hyperdisk Extreme), GKE Agent Sandbox, Agent Gateway, Smart Storage, Knowledge Catalog, and Confidential External Key Management to enable high-performance, governed agent workflows across clouds and on-premises. The updates target enterprises and public sector organizations preparing for machine-speed AI operations.

🤖 Google Cloud introduced a next-generation cross-cloud Lakehouse engineered for the agentic AI era. It combines fully managed Apache Iceberg storage with read/write interoperability, a high-performance Managed Service for Apache Spark, and BigQuery integration to run multimodal workloads in real time. The service adds cross-cloud interconnect and caching to access AWS and Azure data with low latency, and unified governance via Knowledge Catalog to secure and profile data. Customers like Spotify and partners such as Accenture are already testing the platform.

🔒 CrowdStrike expanded real-time cloud detection and response (CDR) to Google Cloud, ingesting Google Cloud activity into the Falcon Cloud Security detection pipeline. The beta capability analyzes cloud telemetry in real time and integrates with the broader Falcon platform, threat intelligence and CrowdStrike Charlotte AI to accelerate hunting and investigations. The company also added Kubernetes control plane detections for GKE and regional Google Cloud infrastructure support to help meet data residency requirements.

🎉 Google Cloud today announced its 2026 Partner of the Year winners, honoring partners who used Google Cloud technologies to deliver transformative customer outcomes. Winners span global and country-level awards across categories such as Artificial Intelligence, Data, Security, Infrastructure Modernization, Google Workspace, and more. The awards recognize innovation, collaboration, and measurable impact in industries worldwide. Congratulations to the partners driving progress and customer success.

🚀 Google Public Sector is launching coordinated initiatives to help partners build, certify, and bring AI solutions to government customers faster. The program includes a federal startup accelerator in collaboration with NVIDIA for AI-focused ISVs, an expanded ISV ATO Accelerator offering up to $1M in funding, and a new Distributor Channel Private Offer with Carahsoft. These efforts target procurement, compliance, and legacy environment barriers to speed deployment of mission-critical AI.

▶️Google Cloud will host Next '26 developer livestreams — daily broadcasts from the show floor that deconstruct major announcements into hands-on demos, reproducible steps, and immediate developer workflows. Viewers can expect real-time coding, interviews with builders and community leaders, focused security and platform deep dives, and surprise guests. Streams air April 22–23 (times PT) across Google Cloud Tech channels, with replays available. Join the Gemini Enterprise Agent Ready (GEAR) program for curated post-event resources.

🎯 GEAR, powered by Google Skills, delivers hands-on AI training to help professionals design, build, and deploy enterprise-ready agents. Members receive 35 monthly learning credits, access to a Discord community, curated agentic resources, and free Google Cloud certification prep for customers. GEAR will be deeply integrated into Google Cloud Next ‘26 with mini-labs, learning paths, expert workshops, and gamified activities to accelerate practical, production-oriented skills.

📺 This joint analysis from Google Cloud product leadership and industry analyst Dan Rayburn outlines evolving requirements for modern streaming delivery. It emphasizes that beyond raw capacity, platforms must deliver architectural flexibility, predictable pricing, and broadcast-grade operational visibility. The authors cite practical updates—flexible shielding in regions, origin compatibility fixes such as HEAD request support and larger 25MiB segments, multi-part range requests—and the move toward monthly savings plans to stabilize costs. They urge technical leaders to explore modern edge architectures and proactive monitoring to ensure reliable, cost-effective live streaming.

📣 This article describes how the Dev Signal team transitioned a multi-agent prototype into production on Google Cloud by combining a FastAPI service, a Vertex AI memory bank, and the Agent Developer Kit. It highlights production-ready concerns including OpenTelemetry traces exported to Cloud Trace for visibility into agent reasoning, and secure secret handling via Secret Manager so credentials never appear in environment variables. The guide also demonstrates reproducible infrastructure using Terraform to provision Artifact Registry, service accounts, Cloud Run, and related APIs, and outlines containerization and Cloud Build steps to deploy new revisions.

🤖 WPP leveraged Google Cloud G4 VM instances powered by the NVIDIA RTX PRO 6000 Blackwell and the NVIDIA Isaac Sim image to cut humanoid robot training from hours or days to under an hour, achieving more than 10x speedups. Their pipeline combines OptiTrack motion capture, OpenUSD digital twins, and MuJoCo-based validation to retarget complex human motion to constrained robot kinematics. Training ran at scale using GPU P2P topology and the AI Hypercomputer, condensing learned policies into ONNX for real-time deployment while preserving safety and robustness.

🌐 Google Cloud has announced that U.S. and EU multi-region endpoints for Claude on Vertex AI are available in public preview. These endpoints pool capacity across multiple regions within a geography to dynamically route requests, improving reliability while keeping processing and data within the chosen jurisdiction. The feature supports prompt caching and automatic failover, and currently offers Opus 4.7 in preview. Enabling the capability requires a simple update to your API location identifier (for example, using us or eu).

🔒 Google outlines an AI-focused security strategy for public sector organizations, emphasizing agentic SOCs powered by Gemini agents and Mandiant frontline expertise. The post summarizes 2026 threat trends — compressed attack cycles, prolonged nation-state access, rising voice phishing, and emerging shadow agents — and stresses integrated visibility across code, cloud, and runtime via Security Command Center. It highlights operational gains such as Connecticut reducing investigations from months to hours and previews demonstrations at Google Cloud Next.

🔍 BigQuery Graph is now available in preview, offering an integrated, serverless graph analytics capability within BigQuery that scales to billions of nodes and edges. It provides an intuitive graph query experience using a GQL dialect aligned with the ISO GQL standard and full interoperability with SQL, removing the need to copy or move data. The preview includes vector and full-text search, notebook visualizations, and federation with Spanner Graph for combined real-time and historical analysis, aimed at use cases such as fraud detection, drug discovery, and supply-chain analysis.

🔗 Google Cloud introduces a unified graph solution that pairs Spanner Graph for operational (OLTP) workloads with BigQuery Graph for analytical (OLAP) queries, enabling developers and analysts to work against a consistent GQL schema without duplicating data. Both platforms support integrated table-to-graph mapping, mixed GQL/SQL queries, built-in vector and full-text search, and AI integrations to power real-time applications and large-scale historical analysis. The solution also offers cross-system workflows via Data Boost (query Spanner from BigQuery), reverse ETL exports to Spanner, and visualization integrations with partners like Kineviz and Linkurious to accelerate investigations and insights.