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Google Pushes for gRPC Support in Model Context Protocol
Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game-changer reduces development friction, ensuring AI agents seamlessly connect with existing services while boosting performance and efficiency. Join the evolving landscape of AI integration!
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Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
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Google Cloud Launches Managed MCP Support
Google Cloud's introduction of fully-managed Model Context Protocol (MCP) servers revolutionizes its API infrastructure, streamlining access for developers. This enterprise-ready solution enhances AI integration across services such as Google Maps and BigQuery while promoting wide-scale adoption. New tools ensure governance and security, and are currently in public preview.
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Arm Launches AI-Powered Copilot Assistant to Migrate Workflows to Arm Cloud Compute
At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.
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New DNS Armor Service Helps Google Cloud Workloads Preemptively Block Cyber Threats
Google Cloud's DNS Armor, in partnership with Infoblox, offers a vital layer of security against DNS-based threats for Google Cloud workloads. Utilizing advanced threat detection and machine learning, it identifies and mitigates risks like malware and data exfiltration, ensuring robust protection without impacting performance. Deployable as a managed service providing seamless control for users.
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Google Spanner Unifies OLTP and OLAP with Columnar Engine
Google Spanner now features a columnar engine, allowing its distributed database to handle both OLTP and OLAP workloads on a single platform. This hybrid architecture eliminates the need for separate data warehouses and ETL pipelines. The engine's columnar storage and vectorized execution accelerate analytical queries up to 200x on live data, which is especially beneficial for AI applications.
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Google Cloud Unveils New Data Security Posture Management Offering in Preview
Google Cloud unveils its new Data Security Posture Management (DSPM) offering, enhancing data governance, privacy, and compliance. This innovative solution provides visibility into sensitive data, helping organizations identify risks and enforce controls. With advanced features integrated into the Security Command Center, it addresses the evolving challenges of cloud data security.
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Google Cloud Launches 'Cloud Setup' to Streamline Foundational Infrastructure
Google Cloud has launched Google Cloud Setup, a streamlined service for creating secure, best-practice cloud environments. Offering guided workflows for various needs—proof-of-concept, production, and enhanced security—this tool reduces manual efforts, enabling rapid application deployment in minutes, not days. Enjoy hassle-free configuration with built-in best practices and cost-effective access.
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Google Apigee Adds Built-in LLM Governance with Model Armor
Google Cloud has launched the public preview of Model Armor, a native LLM governance framework integrated into the Apigee API management platform. Detailed in a community post, Model Armor introduces out-of-the-box enforcement for LLM-specific policies such as prompt validation, output filtering, and token-level controls at the API layer.
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Google Unveils Ironwood TPU for AI Inference
Google's Ironwood TPU, its most advanced custom AI accelerator, powers the "age of inference" with unmatched performance and scalability. With up to 9,216 liquid-cooled chips, it outpaces competitors, delivering 42.5 Exaflops. Engineered for high-efficiency, low-latency AI tasks, Ironwood redefines potential in AI hardware, leveraging AlphaChip to revolutionize chip design.
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Gemini to Arrive On-Premises with Google Distributed Cloud
Google's Gemini models are set to revolutionize on-premises AI with their upcoming launch on Google Distributed Cloud (GDC) in Q3 2025. Partnering with NVIDIA, organizations can harness advanced AI while maintaining strict compliance and data residency. With flexible infrastructure and secure environments, Gemini enables real-time insights for data-driven decision-making across industries.
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Google Cloud Introduces Multi-Cluster Orchestrator for Cross-Region Kubernetes Workloads
Google Cloud has announced the launch of Multi-Cluster Orchestrator (MCO), a new solution designed to simplify the deployment and management of Kubernetes workloads across multiple clusters spanning different regions. The tool aims to address challenges organizations face when operating applications across geographically distributed environments.
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Google Cloud Launches A4 VMs with NVIDIA Blackwell GPUs for AI Workloads
Google Cloud has launched A4 VMs, powered by NVIDIA's Blackwell B200 GPUs, revolutionizing AI workloads with a 2.25x performance boost and advanced networking. Key features include tight integration with Google Kubernetes Engine and Vertex AI, enhancing deployment and management of large-scale projects. This innovative partnership sets a new standard in cloud infrastructure for AI.
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Google Cloud's AI Protection: a Solution to Securing AI Assets
Google Cloud introduces AI Protection, a solution to safeguard against generative AI threats. Managing AI risks through vulnerability assessments, security policies, and proactive threat management enhances asset protection. Integrating with Google’s Security Command Center offers a centralized view of IT posture and advanced security intelligence for robust AI system defense.
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Google Enhances AlloyDB Vector Search with Inline Filtering and Enterprise Observability
Google enhanced its AlloyDB service with inline filtering and enterprise observability for vector search. This fully-managed PostgreSQL-compatible database now allows direct filtering during queries, offering improved speed and efficiency. Enhanced monitoring features provide deep insights, addressing scaling vector search operations challenges.