All news with #google cloud tag

🚀 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.

🔍 BigQuery Graph and Kineviz GraphXR deliver an integrated workflow to extract, model, and visualize knowledge from unstructured enterprise data without separate graph databases or heavy ETL. By performing text extraction, Gemini-powered inference, and graph creation inside BigQuery, organizations preserve provenance and avoid data duplication. GraphXR connects live to the graph for low-code, interactive analysis, evidence-linked tracing, and dashboards that update as graph views evolve.

⚖️ This guide from Google Cloud outlines infrastructure options to manage generative AI costs without compromising performance or availability. It compares Pay-as-You-Go, Priority PayGo, Provisioned Throughput, Batch API, and Flex PayGo, explaining tiers, headers for request control, and SLAs. Practical recommendations show combining PT for baseload, Priority PayGo for spikes, and opportunistic PayGo or Batch/Flex for non‑critical work. Monitoring and cost‑sizing guidance is included.

🔒 UCR partnered with Google Public Sector to build a Secure Enclave powered by the Stellar Engine, a preconfigured cloud container that automates and enforces rigorous security postures. Backed by Google Cloud’s accredited services and a Zero Trust architecture, the environment closes unnecessary access points and maps foundational controls for NIST SP 800-171 and CMMC Level 2. The result is reduced technical overhead for researchers, restored eligibility for sensitive federal grants, and a scalable model the university plans to share with peers.

🔗 AWS has made AWS Interconnect - multicloud generally available, providing private, resilient, high-speed connections between Amazon VPCs and other cloud providers. Google Cloud is the initial launch partner, with Microsoft Azure slated to join later in 2026. The service integrates with AWS Transit Gateway and AWS Cloud WAN to simplify scaling across VPCs and Regions, and introduces single-fee bandwidth pricing plus one free local 500 Mbps interconnect per Region starting in May.