NetApp Empowers Customers to Securely “Talk to Their Data” in Collaboration with NVIDIA
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Insights
The collaboration between NetApp and NVIDIA is poised to enhance the capabilities of generative AI applications through the innovative use of retrieval-augmented generation (RAG). This partnership signifies a strategic move to facilitate seamless access to large volumes of data, potentially revolutionizing how businesses interact with their information assets. By enabling NetApp ONTAP customers to 'talk to their data,' there is a clear value proposition in terms of deriving actionable business insights from proprietary data without compromising on security or privacy.
From a data management perspective, the integration is a significant step forward in addressing the challenges of data silos and accessibility. By leveraging NVIDIA's NeMo Retriever microservices, organizations can expect a more fluid interaction between AI applications and the vast data repositories managed by NetApp's infrastructure. This could lead to enhanced decision-making processes and a competitive edge in data-driven markets. However, it is essential to monitor the adoption rates and measure the actual performance improvements delivered by such integrations to validate their impact on business operations.
With the increasing reliance on AI and machine learning, cybersecurity concerns around data privacy and protection have become paramount. NetApp and NVIDIA's collaboration addresses these concerns by enabling enterprises to utilize large language models in a secure manner that ensures private data remains within the corporate environment. This development is particularly relevant in regulated industries where data sovereignty and compliance with privacy laws are critical.
While the initiative promises enhanced security, it is important to scrutinize the implementation of these security measures. The integration must be tested rigorously to ensure that there are no vulnerabilities that could be exploited, especially when dealing with exabytes of sensitive data. Moreover, as generative AI applications become more sophisticated, the potential for misuse also increases, necessitating robust security protocols to mitigate risks associated with AI-generated content.
The advancement of retrieval-augmented generation (RAG) for generative AI applications is a noteworthy development in the field of artificial intelligence. By connecting NVIDIA's AI Enterprise software platform with NetApp's data infrastructure, there is an expectation of improved efficiency in how AI models retrieve and generate content. This could lead to more sophisticated internal chatbots and AI co-pilots that are capable of tapping into an enterprise's collective knowledge base.
However, the success of such integrations hinges on the quality of the data and the effectiveness of the AI models in interpreting and utilizing this information. As the technology is deployed, it will be important to monitor its impact on productivity and the accuracy of insights generated. The ability to maintain a high level of performance while scaling to handle exabytes of data will be a critical factor in determining the long-term viability of this collaboration.
New integration unlocks exabytes of data for secure, private generative AI across the hybrid multicloud
The new collaboration directly connects the just-announced NVIDIA NeMo Retriever microservices—coming to the NVIDIA AI Enterprise software platform for development and deployment of production-grade AI applications, including generative AI—to exabytes of data on NetApp’s intelligent data infrastructure. Every NetApp ONTAP® customer will now be able to seamlessly “talk to their data” to access proprietary business insights without having to compromise the security or privacy of their data.
Enterprises want to leverage publicly available large language models to talk directly and securely to their corporate data with assurance that their private data will never be accessible outside the enterprise. Until now, enterprises that wanted to build internal chatbots, co-pilots, and applications that leverage corporate knowledge were faced with complexity and uncertainty about how to get started without compromising data security or privacy.
NetApp and NVIDIA have developed a simple solution with NVIDIA NeMo Retriever microservices technology for RAG that can leverage any data stored on NetApp ONTAP—on-premises and in the leading public clouds.
NetApp customers can now query their data, whether spreadsheets, documents, presentations, technical drawings, images, meeting recordings, or even data from their ERP or CRM systems through simple prompts — all while maintaining the access control they’ve already established when storing the data.
“As the leader in unstructured data management, NetApp makes data infrastructure intelligent to securely turbocharge AI innovation. Together with NVIDIA, we have helped accelerate over 500 data-driven businesses to become AI-ready,” said George Kurian, CEO at NetApp. “Through our joint work, NetApp’s installed base can seamlessly and securely use NVIDIA’s tools with their unstructured data. AI is defining a new data-driven era and NetApp and NVIDIA are at the forefront of ensuring success for customers as they adopt and deploy AI.”
“Retrieval-augmented generation pairs valuable data with the power of AI to make copilots transformative productivity tools,” said Jensen Huang, Founder and CEO at NVIDIA. “Together, NVIDIA and NetApp can help enterprises build accurate, intelligent generative AI applications that let companies talk to their data — and foster a new wave of business opportunity.”
By combining NVIDIA’s NeMo Retriever microservices with NetApp ONTAP’s footprint, tens of thousands of enterprises both on-premises and in the world’s largest public clouds can access their data wherever it resides. This reduces the friction, cost, and time to value for RAG.
The new capability allowing customers to talk to their corporate data specifically for enterprise RAG complements NetApp’s robust portfolio of mature AI offerings, which have been leveraged by more than 500 of its joint customers for AI model training and inference, including solutions built on NVIDIA DGX BasePOD and that have certification for NVIDIA DGX SuperPOD, as well as the new NVIDIA OVX systems storage validation program, designed specifically for enterprise RAG.
NetApp’s “Talk to your Data” capabilities will be demonstrated at NVIDIA GTC, a global AI conference taking place in
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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/20240318887270/en/
Media Contact:
Kenya Hayes
NetApp
kenya.hayes@netapp.com
Investor Contact:
Kris Newton
NetApp
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Source: NetApp
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