Storage Networking & Security – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-18T22:02:59Z http://www.open-lab.net/blog/feed/ Tim Lustig <![CDATA[Featured Networking Sessions at NVIDIA GTC 2025]]> http://www.open-lab.net/blog/?p=96189 2025-02-20T15:52:20Z 2025-02-17T05:34:30Z Explore the latest advancements in AI infrastructure, acceleration, and security from March 17-21.]]> Explore the latest advancements in AI infrastructure, acceleration, and security from March 17-21.

Explore the latest advancements in AI infrastructure, acceleration, and security from March 17-21.

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]]> 0 Tim Lustig <![CDATA[Accelerate AI Infrastructure Using an NVIDIA BlueField-3 DPU Integration with DDN Storage]]> http://www.open-lab.net/blog/?p=84544 2024-08-08T18:48:33Z 2024-07-23T16:00:00Z As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A...]]> As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A...Decorative image of a car driving at night with light streaks.

As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A partnership between NVIDIA and DDN Storage is setting new standards in this area. By integrating NVIDIA BlueField DPUs into DDN EXAScaler and DDN Infinia and using them innovatively, DDN Storage is transforming data-centric workloads.

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]]> 0 Anuradha Karuppiah <![CDATA[Scaling Enterprise RAG with Accelerated Ethernet Networking and Networked Storage]]> http://www.open-lab.net/blog/?p=79614 2024-10-28T21:58:50Z 2024-03-18T22:00:00Z In the era of generative AI, where machines are not just learning from data but generating human-like text, images, video, and more, retrieval-augmented...]]> In the era of generative AI, where machines are not just learning from data but generating human-like text, images, video, and more, retrieval-augmented...Decorative image of a RAG pipeline against a black background.

In the era of generative AI, where machines are not just learning from data but generating human-like text, images, video, and more, retrieval-augmented generation (RAG) stands out as a groundbreaking approach. A RAG workflow builds on large language models (LLMs), which can understand queries and generate responses. However, LLMs have limitations, including training complexity and a lack of��

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