In today’s data-driven world, organizations are shifting from siloed data stacks toward intelligent, composable data platforms that support real-time analytics and AI workloads. ... View more

We are thrilled to announce the preview of the integration between Google Gemini Enterprise and Google Cloud NetApp Volumes. Starting today, as a customer of NetApp Volumes, you have a direct and secure data channel to Gemini Enterprise that enables you to seamlessly subject your data to cutting-edge agentic AI use cases.   The combination of NetApp’s rich hybrid cloud data management capabilities and Google quality search and Gemini amplify the power of Generative AI, while Gemini Enterprise delivers a single, secure platform to build, manage, and adopt AI agents at scale and unlock the potential of individuals, teams, and entire enterprises.   Enterprises find it daunting to handle the churn and relevancy of data when subjecting them to GenAI use-cases. This could mean maintaining redundant copies of data, time consuming copy operations, change in data access protocols, just to name a few. On the other hand, building AI agents for their business use-cases calls for in-house deep AI expertise combined with domain experience which are hard to come by.   Through this integration of NetApp Volumes with Gemini Enterprise these challenges are addressed head-on. Your proprietary data in NetApp Volumes can now be processed as a first-class source of information to drive business intelligence and accelerate agentic AI adoption. You can now direct your AI agents and the agentic framework to your existing volumes, eliminating the need to copy data, create data silos, or manage separate data versions solely for AI purposes.  The data connector for NetApp Volumes seamlessly handles the data ingestion, update and retiral process.     Payload and benefits   The preview of this integration exposes the foundational building blocks for an agentic AI experience with your data on NetApp Volumes. You now have the base capability of provisioning a data store in AI Applications by directly selecting NetApp Volumes as the source of data.       No duplicate copies, no data moves. The data in the specified volume is stored as vector embeddings in a Data store in AI Applications and can subsequently be mapped to a Gemini Enterprise application for prompting and responses that are grounded in your data.   Protocol support. As part of preview, this integration extends support for ingesting data from NetApp Volumes over NFS v3 and v4.1 without ACLs.   Support for all service levels. The integration with Gemini Enterprise is available across all the service levels of NetApp Volumes, giving you coverage to build your data-driven AI workflows across 42 Google Cloud regions.   Support for directory level ingestion. The preview features directory level ingestion, allowing you to specify a particular directory along with the hosting volume. This ability optimizes data ingestion by focusing only on the specified location, which is particularly beneficial when volumes contain more data than an AI use case requires.    Cross-project data access. With support for cross-project integration with NetApp Volumes, you can use data from across projects in Google Cloud with your AI agents.   Integration   Once you have created a data store based on NetApp Volumes, you can map it to a Gemini Enterprise application created from the AI Applications platform.     On navigating to Gemini Enterprise, your data on NetApp Volumes is presented to you for your agentic AI operations.     At this juncture you have built an agentic AI framework that is completely grounded in your proprietary data hosted on NetApp Volumes. If needed, you can further augment this with Google Search that will enable grounding on data across the internet or chose Enterprise web search for grounding on data suitable for regulated industries.   Unlock the potential of your data   Data drives the success of any AI initiative, and Google Cloud NetApp Volumes provides a secure and scalable data management platform for your business-critical workloads. Through this integration of NetApp Volumes with Google Gemini Enterprise, you now have a secure and scalable platform to expand the impact of your data in agentic AI.    Get ready to try the Google Cloud NetApp Volumes data connector. Contact your account team today to be allow-listed for the private preview and accelerate your AI journey powered by your data.    Stay tuned for more enhancements as we continue to add coolness and power to AI via NetApp Volumes.  ... View more

Edge and IoT are reshaping how we build AI—pushing models out of the cloud and into the real world where efficiency, speed, and power matter most. This shift is driving a new wave of innovation focused on making machine learning smaller, faster, and more sustainable across every device. ... View more

Learn more about using Manual QoS in Google Cloud NetApp Volumes to manage volume throughput.  Better manage your cloud costs while delivering the performance your applications need.  Change volume throughput instantly using the Google API, Google Cloud CLI, or Terraform ... View more

Stay in Flow. Let Storage Follow. Author: Cloud Storage Product Team - Nitya Gupta, Prabu Arjunan, Sagar Gupta Executive Summary We’re excited to announce the general availability of our newest innovation: the AI-Powered VS Code Extension for Azure NetApp Files (ANF). This extension transforms the way developers and IT teams manage and interact with storage—making it as simple as typing a chat message. By combining AI-driven insights with seamless VS Code integration, it reduces complexity, saves time, and helps teams focus on what matters most: building great software.     Why Does It Matter? Managing cloud storage has traditionally required multiple tools, portals, and context switches. With this extension, you can now: Talk to your storage. Use natural language commands like “analyze this volume” or “provision 2TB for test”—right inside VS Code. Stay in flow. No more bouncing between coding and admin portals. Storage tasks happen where you code. Work smarter. AI recommendations remove the guesswork from capacity planning and configuration, saving both time and money. Key Benefits Business Benefits For Developers Faster Delivery: Developers manage storage directly in VS Code, speeding up workflows and reducing time-to-market.  Better Collaboration: Teams can easily provision and adjust storage without IT bottlenecks. Less Context Switching: Drops from 12–15 interruptions per day to just 1–2—up to 90% fewer disruptions. Economic Benefits Cost Savings: Intelligent provisioning reduces wasted storage spending. Productivity at Scale: +2 hours saved daily per developer. For a 25-person team, that’s 50+ hours reclaimed every day. Operational Flexibility: Easily adapt to changing project needs without over-investing. Technical Benefits Natural Language Commands: Manage storage using everyday language. Productivity Gains: Developers cut 20-minute tasks to seconds. Smarter Storage: AI-powered recommendations ensure optimal performance and prevent costly over-provisioning. How Does It Work? The AI-powered chat interface and natural language command features are built directly into the VS Code extension for Azure NetApp Files. This integration offers:   Conversational Storage Management: Interact with your storage using simple chat commands. AI Recommendations: Get suggestions tailored to real usage and best practices Seamless Integration: Everything runs inside VS Code—no separate logins, no extra portals. Real-World Scenario Consider Meet Sarah, an engineer building an e-commerce application:  Old Way: She pauses coding, logs into the cloud portal, navigates multiple screens, and manually analyzes storage needs—a process that can take up to 20 minutes and disrupt her focus, with the added risk of over-provisioning. New Way with AI-Powered Extension: Sarah simply types “analyze my storage” in VS Code. In seconds, she gets recommendations and can adjust resources—all without leaving her code editor   Result: Sarah stays focused, delivers faster, and avoids unnecessary costs. The AI-Powered VS Code Extension for Azure NetApp Files makes storage invisible, intelligent, and developer-first. Learn More To get started and explore more about this feature, check out the following resources: VS Code Marketplace– Install the extension Documentation – Complete user guide GitHub Repository – Source code and issue tracking Community Forum– Get help and share feedback NetApp Support) – Technical support For questions or feedback, please contact NetApp Support.   ... View more