All news with #google cloud tag

🔔 This month Google Cloud expanded its AI stack across models, tooling, and security. Highlights include Gemini 2.5 Flash with native image generation and SynthID watermarking on Vertex AI, new Veo video models, the Gemini CLI, and a global Anthropic Claude endpoint. Google also published 101 gen‑AI blueprints, developer guidance for choosing tools, and security advances for agents and AI workloads.

☁️ Google Public Sector has been awarded a $48 million DLA Enterprise Platform contract to migrate the Defense Logistics Agency to a DoD‑accredited commercial cloud. The multi‑phased program will move key infrastructure and data to a modern, AI‑ready Google Cloud foundation and enable BigQuery, Looker, and Vertex AI analytics. Emphasizing secure‑by‑design infrastructure and Mandiant threat intelligence, the effort aims to reduce costs, improve resiliency, and accelerate AI‑driven logistics and transportation management.

🔒 EuroDaT, a state-owned data trustee, built safeAML with major German banks to enable controlled, pseudonymous transaction matching while preserving GDPR compliance. The cloud-native service runs on Google Cloud and Google Kubernetes Engine, using infrastructure-as-code, isolated VPCs and auditable processing so EuroDaT never accesses personal-data content. By letting banks request targeted supplementary information, safeAML accelerates suspicious-activity checks, reduces false positives and lays groundwork for wider use in ESG and health data sharing.

🔐 EuroDaT describes how its safeAML platform, built on Google Cloud and Google Kubernetes Engine, enables controlled, pseudonymous exchange of sensitive transaction data between banks. Acting as a neutral data trustee, EuroDaT never accesses personal content while automating secure, auditable workflows that replace error-prone phone calls. Pilots with German banks show faster, more accurate suspicion assessments and lower false positives.

📦 This post describes how Skopeo, a daemonless CLI for container images, can streamline image management with Artifact Registry and Google Cloud CI/CD. It outlines setup steps and five practical workflows—inspect manifests, registry-to-registry copying, listing tags, promoting images, and automated verification. The article also covers security integrations with tools like Cosign and Binary Authorization, and recommends Skopeo for faster, daemonless automation in Cloud Build and related environments.

🚀 Firestore with MongoDB compatibility is now generally available on Google Cloud. This launch lets developers run existing MongoDB drivers, code, and tools against a MongoDB-compatible API implemented on Firestore's serverless database, combining MongoDB ecosystem compatibility with Firestore’s multi-region replication, strong consistency, and pay-as-you-go pricing. New capabilities include over 200 API and query features (including $lookup and unique indexes), Firestore Studio enhancements, and Eventarc triggers for change data capture. Enterprise functions such as Point-in-Time Recovery, database cloning, and managed export/import support production and compliance workflows.

⚙️ This guide from Google Cloud authors Eric Hanley and Brittany Rockwell explains how to tune vLLM deployments for xPU inference, covering accelerator selection, memory sizing, configuration, and benchmarking. It shows how to gather workload parameters, estimate HBM/VRAM needs (example: gemma-3-27b-it ≈57 GB), and run vLLM’s auto_tune to find optimal gpu_memory_utilization and throughput. The post compares GPU and TPU options and includes practical troubleshooting tips, cost analyses, and resources to reproduce benchmarks and HBM calculations.

🌍 BigQuery now integrates Earth Engine, enabling analysts to run raster analytics and join satellite-derived imagery with vector data using familiar SQL workflows. Initial capabilities include the ST_RegionStats() geography function plus a curated set of ~20 Earth Engine raster datasets for land cover, weather and climate analysis. With general availability, Google Cloud adds EU regional deployment, an Image Details tab for enhanced metadata visibility, usage and quota controls, and a preview map visualization in BigQuery Studio to render GEOGRAPHY query results on Google Maps for interactive exploration and stakeholder-ready outputs.

💬 The Conversational Analytics API lets developers embed natural‑language data queries and chat‑driven analysis directly into custom applications, internal tools, and workflows. It combines Google's AI, Looker’s semantic layer, and BigQuery context engineering to deliver data, chart, and text answers with trusted access controls. Features include agentic orchestration, a Python Code Interpreter, RAG‑assisted context engineering, and both stateful and stateless conversation modes. Enterprise controls such as RBAC, row‑ and column‑level access, and query limits are built in.

🔔 Google Cloud published a consolidated roundup of product releases and previews from early July through Aug 22, 2025, covering GA launches, public previews, and platform enhancements. Highlights include Earth Engine in BigQuery (GA), Vertex AI embedding scaling, new GKE features for NUMA alignment and swap, expanded NodeConfig controls, and Cloud Run with GPUs. Customers should review the linked documentation, request preview access via account teams where needed, and plan upgrades or migrations accordingly.