NetApp Partners with Google Cloud to Maximize Flexibility for Cloud Data Storage
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Insights
The integration of Google Cloud and NetApp's new Flex service level represents a significant evolution in cloud storage solutions. The ability to scale storage volumes from one GiB to 100TiB, with performance scaling up to one GiB/s, is a substantial technical advancement. This scalability is particularly important for enterprises looking to leverage cloud for AI and other intensive workloads, as it provides the necessary infrastructure to handle large datasets without compromising performance.
Furthermore, the collaboration enhances the value proposition of Google Cloud by incorporating NetApp's ONTAP technology. ONTAP's data management capabilities, including automated classification and tagging, as well as fast, scalable snapshots and real-time cloning, are essential for maintaining data integrity and accelerating time-to-insight in AI-driven operations. These features can lead to cost savings and operational efficiencies for businesses, as they enable more streamlined data pipelines and reduce the risk of data corruption or loss.
The announcement of the GenAI toolkit and its integration with Google Cloud's Vertex AI platform is a notable development for enterprises looking to harness the power of generative AI. The toolkit's reference architecture for retrieval-augmented generation operations simplifies the implementation of complex AI data pipelines, which is a critical factor for businesses seeking to reduce the time and resources required to derive actionable insights from their data.
The automated classification and tagging feature within NetApp’s BlueXP classification service is particularly noteworthy. By ensuring data cleanliness and policy adherence, it mitigates risks associated with handling sensitive information. This is especially important in industries with stringent compliance requirements, such as healthcare or finance. The ability to roll back to previous data versions or create real-time clones with ONTAP Snapshot and FlexClone technology also provides businesses with flexibility and security, enabling them to explore various scenarios and queries without affecting production data.
The potential impact of the expanded partnership on the field of generative AI cannot be overstated. By providing a more robust and flexible infrastructure, the collaboration between NetApp and Google Cloud could accelerate the development and deployment of generative AI applications. The ability to generate high-quality, ultra-relevant insights and automations is a game-changer for businesses seeking a competitive edge.
As AI and machine learning workloads continue to grow in complexity and size, the importance of having a scalable and efficient data infrastructure becomes increasingly critical. The NetApp GenAI toolkit's emphasis on optimizing RAG processes aligns with the industry's need for more sophisticated tools that can handle the nuances of AI data management. This includes the necessity for quick iteration and deployment of AI models, which the toolkit appears to address through its architecture and data management capabilities.
New Google Cloud NetApp Volumes capabilities and integrations make the cloud more secure and simple for key initiatives such as generative AI
More Flexible Data Storage Options for Google Cloud NetApp Volumes
Google Cloud and NetApp are announcing a new service level for NetApp Volumes called Flex that gives customers more granular control to adapt their storage and performance to match the exact needs of their cloud workloads.
“Increasing demand for data-intensive applications and insights has reinforced the need for a new approach to unified data storage that gives organizations the agility to move and store data wherever it is needed at any point in time,” said Pravjit Tiwana, Senior Vice President and General Manager, Cloud Storage at NetApp. “By extending our collaboration with Google Cloud, we’re delivering a flexible form factor that can be run on existing infrastructure across Google Cloud system without any tradeoffs to enterprise data management capabilities.”
With the addition of Flex, NetApp Volumes customers can choose from four service levels to leverage a fully managed file service built on NetApp ONTAPTM and operated by Google Cloud, including:
- Standard: highly available, general-purpose storage with advanced data management capabilities and 16MiB/sec per TiB of performance, which is recommended to support workloads such as file shares, virtual machines (VMs), and DevTest environments.
- Premium: highly available, high-performance storage with advanced data management capabilities and 64MiB/sec per TiB of performance, which is recommended for file shares, VMs, and databases.
- Extreme: highly available, low-latency, high-throughput storage with advanced data management capabilities and 128MiB/sec per TiB of performance, which is recommended for Online Transaction Processing (OLTP) high-performance databases and low-latency applications.
- Flex: highly available storage volumes with scalability from one GiB to 100TiB and up to one GiB/s of performance depending on the size of the underlying storage pool. This adaptable service level can support a wide variety of use cases, including AI.
“Google Cloud NetApp Volumes remains a critical component of every enterprise’s digital transformation strategy,” said Sameet Agarwal, GM/VP, Google Cloud Storage at Google Cloud. “Utilizing Google Cloud technologies, NetApp Volumes will power new capabilities that can improve how businesses operate and create real-world value for their organizations.”
The Flex service level will be generally available by Q2 2024 across 15 Google Cloud regions, expanding to the other Google Cloud regions by the end of 2024.
Unlocking Enterprise Data for Generative AI in Google Cloud
NetApp is also releasing a preview of its GenAI toolkit with support for NetApp Volumes. This offering, along with the accompanying reference architecture, speeds the implementation of RAG operations while enabling secure, consistent, and automated workflows that securely connect data stored in NetApp Volumes with Google Cloud Vertex AI platform. The result is a greater ability to generate unique, high-quality, and ultra-relevant insights and automations.
“As the intelligent data infrastructure company, we have unmatched capabilities to support data classification, tagging, mobility, and cloning for data wherever it lives so our customers can run efficient and secure AI data pipelines,” said Pravjit Tiwana, Senior Vice President and General Manager, Cloud Storage at NetApp. “Building on our partnership with Google Cloud to streamline RAG enables customers to tap into market-leading AI services and models to generate a unique competitive advantage.”
The NetApp GenAI toolkit helps optimize RAG processes with unique capabilities, including:
- Common data footprint everywhere: NetApp ONTAP allows customers to easily include data from any environment to power their RAG efforts with common operational processes while reducing risk, cost, and time to results.
- Automated classification and tagging: NetApp’s BlueXP classification service automatically tags data to support streamlined data cleansing for both the ingest and inferencing phases of the data pipeline, ensuring that the right data is used for queries and that sensitive data is not exposed to the model out of policy.
- Fast, scalable snapshots: ONTAP Snapshot delivers near-instant creation of space-efficient, in-place copies of vector stores and databases, allowing immediate roll back to a previous version if data is corrupted or forward if point-in-time analysis is needed.
- Real-time cloning at scale: ONTAP FlexClone technology can create instant clones of vector index stores to safely make uniquely relevant data instantly available for different queries for different users, without impacting the core production data.
“GenAI is a tidal wave of opportunity for the companies that can effectively apply their data to their industry,” said Miles Ward, CTO at SADA, An Insight Company. “At SADA we are fired up about pairing our extensive expertise with NetApp and Vertex AI to help customers accelerate their AI journeys. Why generate uninformed chats when you could generate unique, specific, relevant insights?”
The GenAI toolkit will be available as a public preview within the second half of 2024.
To learn more about the Flex service level for NetApp Volumes or the GenAI toolkit reference architecture for Vertex AI, visit the NetApp booth #1231 at the Google Cloud Next 2024 conference running from April 9-11 at Mandalay Bay in
Additional Resources
- All Your Datasets are Welcome on Google Cloud NetApp Volumes. Did We Say No Trade-Offs?
- Introducing Google Cloud NetApp Volumes Flex Service Level
- Google Cloud NetApp Volumes
About NetApp
NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data services, and CloudOps solutions to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry’s best data management. As the only enterprise-grade storage service natively embedded in the world’s biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our CloudOps solutions provide continuous optimization of performance and efficiency through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at www.netapp.com or follow us on X, LinkedIn, Facebook, and Instagram.
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View source version on businesswire.com: https://www.businesswire.com/news/home/20240410415954/en/
Media Contact:
Kenya Hayes
NetApp
kenya.hayes@netapp.com
Investor Contact:
Kris Newton
NetApp
kris.newton@netapp.com
Source: NetApp
FAQ
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