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On Fri, 23 Aug, 12:05 AM UTC
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AI networking solutions: Juniper simplifies network infrastructure - SiliconANGLE
Juniper meets AI bandwidth demands with customizable networking As 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 focused on helping customers construct their own network infrastructures. "We are dealing with the ... customers who already know that their data privacy is a big issue," said Praveen Jain (pictured), senior vice president and general manager of AI clusters and cloud-ready data center at Juniper. "They are already interested in building their own on-prem data centers because of data privacy or any other reasons they may have. These are the customers who are in more advanced stages. They know that they have to build it, but even those customers are the customers who need help because AI is so new. Nobody knows how to operate this infrastructure. What is the right infrastructure, what is the performance, what's the cost it's going to bring to the table because GPUs are so expensive?" Jain spoke with theCUBE Research's Bob Laliberte at the Juniper Networks AI-Native NOW event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed AI networking solutions and how Juniper is meeting the demands of the AI era. (* Disclosure below.) Deploying AI across a network is difficult because it requires far more bandwidth and can cause congestion. To counteract these issues, Juniper uses the Marvis Virtual Network Assistant, harnessing Mist AI to automatically identify the cause of network failures and simplify its operations. "What we did differently than any networking vendor in the industry is we built our own network," Jain said. "I'm the guy who wants to [get] our hands dirty. We're not just 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 build our network, but also we used that network to train the workloads." Juniper allows companies to bring in their own data and create networks with the Juniper Validated Design approach, based on its Ethernet ecosystem. Fifty-nine percent of companies prefer Ethernet, according to findings by theCUBE Research, and Jain emphasizes that it is the future of AI networking. "At the end of the day, it's pure Ethernet," he said. "We are adding some Ultra Ethernet capabilities into this new network ... it's easy to operate that. We have Mist Marvis technology at the core, which we applied to our regular data centers. Now we are applying it to a networking for AI solution. That's where the entire solution is catered towards simplification." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Juniper Networks AI-Native NOW event:
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AI-Native Networking: Juniper's revolution in connectivity - SiliconANGLE
Transforming connectivity with self-healing intelligence: Inside Juniper's AI-Native Networking Platform In today's digital landscape, where faster data processing and high throughput are key factors, incorporating artificial intelligence into the network infrastructure is critical. This reality has paved the way for Juniper Network Inc.'s AI-Native Networking Platform. For networking to offer simplicity, increase productivity, provide assurance and be highly experienced to the end user, Juniper took the AI-native network route, according to Manoj Leelanivas (pictured), chief operating officer of Juniper Networks. "When you think about networking, you think about connectivity, but we want to transcend connectivity," Leelanivas said. "We give completely simplified operations for their network, and for end users, superlative experience, whether it's in the Team or Zoom or whatever, and the AI-native network is all about providing that. We are almost at a point where the network is almost self-healing -- 80 to 90% of the problems are corrected by our Marvis AI engine." Leelanivas spoke with theCUBE Research's Bob Laliberte at the Juniper Networks AI-Native NOW event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed why an AI-native network is a game-changer in today's computing environment. (* Disclosure below.) Since the dynamic allocation of resources, efficient scaling and latency minimization are at the heart of an AI-native network. Juniper Networks makes this a reality, thanks to the presence of many data points, Leelanivas pointed out. Its cloud-native platform also comes in handy in the realization of a self-healing and driving network. "We've been collecting multiple data points from users, access points, switches, routers and security devices for eight years now, so lots of data," Leelanivas said. "In much similar ways as you have a self-driving world happening with the Teslas and the EVs, you have a self-driving network forming here, and that's what the AI-native network is all about." Getting enterprises up and running faster in the AI era continues to be top of mind. As a result, Juniper offers a blueprint meant to accelerate time to value, simplify AI adoption and present a self-driving network, "There is always the knowledge gap, skills gap -- you don't get enough people who know AI well, and training people isn't easy," Leelanivas noted. "This is where Juniper has taken a brave new step in terms of reducing the time to get to be AI comfortable and actually AI native as soon as possible -- this is our enterprise blueprint. We are able to deliver almost 9X the value compared to anything else out in the industry. We are really creating a self-driving network that is very easy to adopt." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Juniper Networks AI-Native NOW event:
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Juniper Networks introduces groundbreaking AI-native networking solutions, including the Marvis AI assistant, to enhance network performance, security, and user experience. This innovation marks a significant shift in the networking industry towards self-healing and proactive management.
In a groundbreaking development, Juniper Networks has unveiled its AI-native networking solutions, signaling a paradigm shift in the way networks are managed and operated. At the forefront of this innovation is Marvis AI, an advanced artificial intelligence assistant designed to revolutionize network management and user experience 1.
Marvis AI stands out as a cornerstone of Juniper's AI-native approach. This intelligent assistant is capable of understanding natural language queries, allowing network administrators to interact with their systems more intuitively. By leveraging machine learning algorithms, Marvis can predict potential issues, recommend optimizations, and even implement solutions autonomously 1.
One of the most impressive features of Juniper's AI-native networking is its self-healing capability. The system can detect anomalies, diagnose problems, and implement fixes without human intervention. This proactive approach significantly reduces downtime and enhances overall network reliability 2.
Juniper's AI-driven solutions also bring substantial improvements to network security. By continuously analyzing network traffic patterns, the system can identify potential threats in real-time and take immediate action to mitigate risks. Additionally, the AI optimizes network performance by dynamically adjusting configurations based on usage patterns and demand 2.
The introduction of AI-native networking places a strong emphasis on user experience. Marvis AI can proactively address issues that may impact end-users, often resolving problems before they become noticeable. This approach ensures smoother operations and higher satisfaction levels for both network administrators and end-users 1.
Juniper's innovation is set to have a significant impact on the networking industry. As businesses increasingly rely on complex, distributed networks, the need for intelligent, self-managing systems becomes crucial. Juniper's AI-native approach positions the company as a leader in this new era of networking technology 2.
As the technology continues to evolve, we can expect to see even more advanced applications of AI in networking, potentially leading to fully autonomous network ecosystems in the near future.
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