Because the demand for AI networking solutions continues to grow, driven by the bandwidth-intensive GPUs needed to support artificial intelligence technologies, businesses are reevaluating their network infrastructures.
Juniper Networks Inc., which was recently acquired by Hewlett Packard Enterprise, is targeted on helping customers construct their very own network infrastructures.
Juniper Networks showcases the way it is harnessing AI on the Latest York Stock Exchange.
“We’re coping with the … customers who already know that their data privacy is an enormous issue,” said Praveen Jain (pictured), senior vice chairman and general manager of AI clusters and cloud-ready data center at Juniper. “They’re already fascinated by constructing their very own on-prem data centers because of knowledge privacy or some other reasons they could have. These are the purchasers who’re in additional advanced stages. They know that they should construct it, but even those customers are the purchasers who need assistance because AI is so latest. No one knows learn how to operate this infrastructure. What’s the appropriate infrastructure, what’s the performance, what’s the price it’s going to bring to the table because GPUs are so expensive?”
Jain spoke with theCUBE Research’s Bob Laliberte on the Juniper Networks AI-Native NOW event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI networking solutions and the way Juniper is meeting the demands of the AI era. (* Disclosure below.)
AI networking solutions: Simplifying with network assistant Marvis
Deploying AI across a network is difficult since it requires way more bandwidth and could cause congestion. To counteract these issues, Juniper uses the Marvis Virtual Network Assistant, harnessing Mist AI to mechanically discover the explanation for network failures and simplify its operations.
“What we did in a different way than any networking vendor within the industry is we built our own network,” Jain said. “I’m the guy who desires to [get] our hands dirty. We’re not only talking. We built our own network. In that network, we brought in Nvidia GPUs. We brought in ecosystem partners like Weka Storage. We brought in compute, we brought in other elements all together. Not only did we construct our network, but additionally we used that network to coach the workloads.”
Juniper allows firms to usher in their very own data and create networks with the Juniper Validated Design approach, based on its Ethernet ecosystem. Fifty-nine percent of firms prefer Ethernet, in keeping with findings by theCUBE Research, and Jain emphasizes that it’s the longer term of AI networking.
“At the top of the day, it’s pure Ethernet,” he said. “We’re adding some Ultra Ethernet capabilities into this latest network … it’s easy to operate that. We now have Mist Marvis technology on the core, which we applied to our regular data centers. Now we’re applying it to a networking for AI solution. That’s where all the solution is catered towards simplification.”
Here’s the whole video interview, a part of SiliconANGLE’s and theCUBE Research’s coverage of the Juniper Networks AI-Native NOW event:
(* Disclosure: TheCUBE is a paid media partner for the Juniper Networks AI-Native NOW event. Neither Juniper Networks Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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