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With NetApp ® Cloud Volumes ONTAP ® software and Microsoft Azure VMware Solution, you’ll be able to extend or migrate block-based VMware workloads to Azure with minimal disruption—bringing enterprise-grade storage efficiency, data protection, and flexibility to VMware workloads running in Azure.
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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.
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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.
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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
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