JAKARTA - F5 and NetApp announced their collaboration to accelerate and simplify the application of large language models (LLM) through the integration of multicloud network solutions from F5 and data management from NetApp.

By integrating the multicloud network from the F5 and data management from NetApp, the company can implement the Retrieval Augmented Generation (RAG) solution efficiently and safely, so that it can improve the performance, security, and uses of their AI system.

RAG is an artificial intelligence technique that incorporates a generation-based and search-based approach to improving the quality and relevance of responses by including documents or relevant information, which are often property rights, from large datasets into safely generated answers without exposing them to general language models.

This strong collaboration opens up RAG potential, combining company data with existing and growing AI models, said Kunal Anand, F5 Chief Technology and AI Officer.

Their solution is to use F5 Distributed Cloud Services and BlueXP NetApp to unify the operational model of data management, security and networks.

The F5 focuses on increasing AI adoption by combining secure multicloud networks, while NetApp optimizes cloud storage and data mobility. Thus, this collaboration allows companies to manage AI more efficiently, encourage innovation, and reduce IT's operational costs.

The two companies are targeting this solution to support the company's AI projects in a hybrid cloud environment, facilitating data management that is safe and optimal.

In addition, F5 and NetApp also offer technology that facilitates data migration and improves security to protect sensitive company data.

"Our collaboration supports companies that want to use generative AI to encourage innovation and growth," said Jonsi Stefansson, Chief Technology Officer of NetApp.


The English, Chinese, Japanese, Arabic, and French versions are automatically generated by the AI. So there may still be inaccuracies in translating, please always see Indonesian as our main language. (system supported by DigitalSiber.id)