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Rare Porsche 356/2 Could Fetch $3.5 Million

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Rare Porsche 356/2 Could Fetch .5 Million

Rare Porsche 356/2 Could Fetch $3.5 Million | Carscoops <!—-> <!– –> <!– –> <!—->

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The carmaker built just 52 examples of the original 356/2 and this one has a well-documented past 

 https://www.carscoops.com/author/bradcarscoops-com/

Rare Porsche 356/2 Could Fetch $3.5 Million <!––>

by Brad Anderson

1 hour ago

<!––> Rare Porsche 356/2 Could Fetch $3.5 Million
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Few brands doe sports cars as well as Porsche and while it’s hard to pinpoint its single most important production vehicle, one could make an argument that the 356/2 is it. Were it not for it, Porsche may have never become the brand that it currently is.

The first Porsche built came in the form of the 356/1 which had no fixed roof and a mid-mounted flat-four engine. Soon after, Porsche received the necessary funds it needed to bring a sports car into production thanks to a Swiss entrepreneur by the name of Rupprecht von Senger.

That model was the 356/2 and just 52 examples were ever manufactured. This car is number 32 and is available through DK Engineering in the UK with a claimed value of $3.5 million.

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DK Engineering

Unlike so many other vehicles of this age, the history of this 356/2 has been comprehensively detailed throughout the decades. It was built on June 12, 1950, and delivered to a customer in Gothenburg, Sweden. In 1952, it was purchased by Gert Kaiser who raced at the Midnattssolsrallyt or Rally to the Midnight Sun in the Arctic Circle.

Read: The Porsche Vision 357 Is A Retrotastic Homage To The Original 356

The car passed through the hands of several other Swedish residents during the 1950s and 1960s before being deregistered in Sweden in 1974 and sold in Norway. It was later sold to a collector in California before being acquired by collector Jim Barrington in 1994. The 356/2 was then sold to Cal Turner III and displayed at numerous events before it was purchased by someone in the UK in 2007 and then picked up by DK Engineering last year. It is now ready for a new home having recently benefited from a full service.

A variety of different engines powered the 52 units that were built, including two different 1.1-liter flat-fours and a larger 1.5-liter engine. Given this car’s age, it looks to be in excellent condition and will no doubt be a welcome addition to even the most comprehensive and expensive collection.

DK Engineering

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Apply by March 31 for Automotive, Heavy-Duty Scholarships

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Apply by March 31 for Automotive, Heavy-Duty Scholarships

Hundreds of scholarships, including scholarships for service and repair, engineering, supply chain, finance and IT/cybersecurity fields of study, will be awarded

By University of the Aftermarket Foundation

Bethesda, Md.—The University of the Aftermarket Foundation (UAF) reminds students that March 31 is the deadline to submit applications on its Aftermarket Scholarship Central websites at AutomotiveScholarships.com and HeavyDutyScholarships.com.

Hundreds of scholarships, including scholarships for service and repair, engineering, supply chain, finance and IT/cybersecurity fields of study, will be awarded for the 2024-25 academic year to students enrolled in four-year and two-year colleges as well as ASE/NATEF certified automotive, collision and heavy-duty/diesel post-secondary programs. In 2023, 378 scholarships totaling $640,250 were awarded. 

Apply by March 31 for Automotive, Heavy-Duty Scholarships

The foundation’s AutomotiveScholarshps.com and HeavyDutyScholarships.com websites are streamlined, mobile-ready portals with easy navigation and a simplified online application process for students interested in careers in the motor vehicle aftermarket. By completing a single application online, students will be considered for multiple scholarships for which they are eligible. The websites allow applicants to view the details of all scholarships available and continue to update their application until the March 31 deadline.

A complete list of scholarships offered by UAF and affiliated organizations is featured on the websites with links to information outlining each organization’s scholarship details, eligibility requirements and awards. To be considered for as many scholarships as possible, UAF urges applicants to read the individual pages thoroughly to ensure they include the proper information required by each organization with their application.

“The University of the Aftermarket Foundation’s scholarship program has helped countless students get the education and training needed to begin a successful automotive or heavy-duty career,” said Roger McCollum, MAAP, chairman, University of the Aftermarket Foundation. “We encourage all those who are interested to visit the UAF scholarship websites soon so they have plenty of time to complete and submit their applications by the March 31 deadline.”

To receive information, reminders and updates about the University of the Aftermarket Foundation scholarship program, interested parties can text their name and email address to 720-903-2206. To learn more about the University of the Aftermarket Foundation, visit UofA-Foundation.org.

GM Just Changed Course On Plug-In Hybrid Electric Cars

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GM Just Changed Course On Plug-In Hybrid Electric Cars
GM Just Changed Course On Plug-In Hybrid Electric Cars

In the same call, Mary Barra also said that GM plans to produce 200,000 to 300,000 EVs across all of its brands this year. GM still plans to transition to a fully electric light-duty fleet by 2035, a mere nine years from now. 

That all sounds well and good, but at the beginning of 2024, General Motors, across all brands, only offered six electric cars: the Chevy Bolt EV and EUV, the Chevy Blazer EV, the Cadillac Lyriq, and the GMC Hummer truck and SUV. Both variants of the Bolt are not Ultium-based. It’s also worth noting that GM has had a very difficult time in past years selling any meaningful amount of EVs. 

As of now, GM has not released any info as to what the new plug-ins will be or what the exact timeline is. But if it wants to get everyone in an electrified car, it has to start actually shipping models out sooner rather than later. 

Stellantis Boss Says Rapid Acceleration Of EVs Is A Safety Feature

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Rare Porsche 356/2 Could Fetch .5 Million

Stellantis Boss Says EV’s Rapid Acceleration Is A Safety Feature | Carscoops <!—-> <!– –> <!– –> <!—->

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While are some are worried by the availability of high-powered EVs, Tavares does not share such concerns 

 https://www.carscoops.com/author/bradcarscoops-com/

Rare Porsche 356/2 Could Fetch $3.5 Million <!––>

by Brad Anderson

2 hours ago

<!––> Stellantis Boss Says EV’s Rapid Acceleration Is A Safety Feature
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The rise of electric vehicles has seen the acceleration figures of everyday runabouts and family SUVs drop to levels once reserved for sports cars and supercars, and according to Stellantis chief executive Carlos Tavares, the quick acceleration of EVs could be considered a safety feature.

While speaking at the reveal of the company’s new STLA Large platform, which will support models with a 0-62 mph (100 km/h) in as low as 2 seconds, Tavares noted that quick acceleration is important when overtaking and could help drivers avoid certain dangerous situations.

“I am living on a farm in the deep countryside of Portugal, and I often drive on the small roads around here,” Tavares told Top Gear. “The acceleration power is first a matter of safety. It is first a matter of overtaking in safe conditions, making sure that you can change lanes, you can overtake a truck on a two-lane road. So, it is not necessarily about speed. It’s about acceleration power to overtake in safe conditions, and we are very happy that the electric vehicles carry that kind of capability.”

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Stellantis Boss Says EV’s Rapid Acceleration Is A Safety Feature
Stellantis STLA Large platform

Anyone who’s ever driven a slow car knows that it can be quite dangerous when trying to overtake and that’s exactly the type of scenario that Tavares believes EVs will help drivers avoid.

Read: Stellantis To Launch 8 New Models On STLA Large EV Platform That Supports ICE

“I think it’s something that customers can enjoy,” he added. “And there is nothing more difficult than starting to overtake a truck and then having to jump on the brakes because you just discovered that the acceleration of the car you’re driving is not good enough to overtake in safe conditions. So, you jump back on the brakes, and you go back behind the truck. The acceleration capability for us is first a safety measure. The more acceleration you have, the safer the conditions under which you overtake can be, and from that perspective, the BEV technology is great as we all know.”

While Tavares may have a point in regards to overtaking, we’re not convinced that the blistering acceleration offered by EVs is necessarily a good thing. Sure, enthusiasts like ourselves love the thrill that an EV can provide off the line but do you want to be sharing the road with inexperienced and distracted drivers piloting 500hp+ family cars that can hit 62 mph in 3 seconds? We’re not sure we do.

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Subcutaneous HER2+ Breast Cancer Treatment Trends

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Subcutaneous HER2+ Breast Cancer Treatment Trends
Subcutaneous HER2+ Breast Cancer Treatment Trends

Morphologic Type and Tumor Stage May Inform Real-World Outcomes in RCC

Subcutaneous Nivolumab Provides Clinical Equipoise to Standard IV Dosing in ccRCC

Dr George on the Efficacy and Safety of Subcutaneous Nivolumab in ccRCC

Adjuvant Nivolumab Does Not Provide DFS Advantage in Localized, High-Risk RCC

7 Essential Works by Buckminster Fuller

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7 Essential Works by Buckminster Fuller
7 Essential Works by Buckminster Fuller

It would be incorrect to call Buckminster Fuller an architect. In fact, he was much more. But of course, the American inventor, theorist, and author did create stunning architectural structures—even if many of them weren’t ultimately destined for living. His claim to fame is, no doubt, the geodesic dome, a spherical structure Fuller patented with an omnitriangulated surface that gave it superstrength. The first was rendered in aluminum aircraft tubing with a plastic skin, but they became more impressive from there, climaxing in what might be his best-known dome: one created as the US Pavilion at the 1967 World Fair in Montreal and now a science museum called the Montreal Biosphère. Beyond the domes—which he imagined would be infinitely useful for their light weight and easy assembly—Fuller was also interested in the concept of prefab housing, devising but never producing the Dymaxion House, which was meant to arrive in a few pieces that could be easily assembled. Here, we’ve rounded up some of Fuller’s most recognizable architecture, all rather avant-garde for its time.

Unveiling the power of healing: a journey through stories [PODCAST]

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Unveiling the power of healing: a journey through stories [PODCAST]


Unveiling the power of healing: a journey through stories [PODCAST]

Subscribe to The Podcast by KevinMD. Catch up on old episodes!

Join Dustin Grinnell, the author of The Healing Book. Dustin takes us on a journey through this thought-provoking collection of short stories, where characters embark on paths of self-discovery, healing, and personal growth. We delve into the inspiration behind the book, explore the diverse stories within it, and discuss the intersection of science, medicine, and spirituality in his writing.

Dustin Grinnell is a writer.

He discusses his book, The Healing Book.

Our presenting sponsor is Nuance, a Microsoft company.

Together, Microsoft and Nuance are leveraging their rich digital technology and advanced AI capabilities to tackle some of health care’s biggest challenges. AI-driven technology promises to revolutionize patient and provider experiences with clinical documentation that writes itself.

The Nuance Dragon Ambient eXperience, or DAX for short, is a voice-enabled solution that automatically captures patient encounters securely and accurately at the point of care. DAX Copilot combines proven conversational and ambient AI with the most advanced generative AI in a mobile application that integrates directly with your existing workflows.

Physicians who use DAX have reported a 50 percent decrease in documentation time and a 70 percent reduction in feelings of burnout, and 85 percent of patients say their physician is more personable and conversational.

Discover AI-powered clinical documentation that writes itself. Visit https://nuance.com/daxinaction to see a 12-minute DAX Copilot demo.

VISIT SPONSOR → https://nuance.com/daxinaction

SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast

RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended

GET CME FOR THIS EPISODE → https://earnc.me/4OApdv

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Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire

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Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire
Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire

PRWire:

Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs

Industry’s leading AIOps and virtual network assistant expanded with first integrated digital experience twinning and end-to-end insight across campus, branch and data center infrastructures; new additions to industry’s simplest and most flexible AI Data Center solutions that drive even more speed, scale and value

SUNNYVALE, Calif. – January 29, 2024 – Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native Networking, today announced the industry’s first AI-Native Networking Platform, purpose-built to leverage AI to assure the best end-to-end operator and end-user experiences. Trained on seven years of insights and data science development, Juniper’s AI-Native Networking Platform was designed from the ground up to assure that every connection is reliable, measurable and secure for every device, user, application and asset.

Unique to the industry, Juniper’s AI-Native Networking Platform unifies all campus, branch and data center networking solutions with a common AI engine and Marvis Virtual Network Assistant (VNA). This enables end-to-end AI for IT Operations (AIOps) to be used for deep insight, automated troubleshooting and seamless end-to-end networking assurance, which elevates IT teams’ focus from maintaining basic network connectivity to delivering exceptional and secure end-to-end experiences for students, staff, patients, guests, customers and employees. The Juniper AI-Native Networking Platform provides the simplest and most assured Day 0/1/2+ operations, resulting in up to 85 percent lower operational expenditures than traditional solutions, demonstrates the elimination of up to 90 percent of network trouble tickets, 85 percent of IT onsite visits and up to 50 percent reduction in network incident resolution times. 

“AI is the biggest technology inflection point since the internet itself, and its ongoing impact on networking cannot be understated. At Juniper, we have seen first-hand how our game changing AIOps has saved thousands of global enterprises significant time and money while delighting the end user with a superior experience. Our AI-Native Networking Platform represents a bold new direction for Juniper, and for our industry. By extending AIOps from the end user all the way to the application, and across every network domain in between, we are taking a big step toward making network outages, trouble tickets and application downtime things of the past.”

  • Rami Rahim, Chief Executive Officer, Juniper Networks

Within the new AI-Native Networking Platform, Juniper is introducing several new products that advance the experience-first mission, from more predictable, reliable and measurable IT operations using AI, to simpler high performance data center networks specifically designed for AI training and inference.

AI for Networking: Going Deeper and Wider with Marvis VNA

The new AI-Native Networking Platform includes two new enhancements to Marvis, the only AI-Native VNA in the industry driven by Mist AI, with proactive recommendations and self-driving operations plus a conversation interface (using GenAI for some use cases). With the following new capabilities, Juniper customers and partners get even more automation and insight:

  • Marvis Minis: the only AI-Native Networking Digital Experience Twin, uses Mist AI to proactively simulate user connections to instantly validate network configurations and find/detect problems without users being present. Minis simulates end user/client/device/app traffic to learn the network configuration via unsupervised machine learning and to proactively highlight network issues. Data from Minis is continuously fed back into the Mist AI engine, providing an additional source of insight for the best AIOps responses. 

No manual configuration is required, as Minis is always on and can be deployed automatically during periods of low network usage (e.g. at midnight on weekends) or via trigger events (e.g. after a network configuration change). Also, unlike conventional digital twinning solutions and synthetic testing, Marvis Minis integrates directly with the network, eliminating manual monitoring and analysis via external sensors, clients and applications. 

  • Marvis Virtual Network Assistant (VNA) for the Data Center: Juniper is introducing the first and only AI-Native VNA for the data center, delivering the best insight throughout the entire data center lifecycle across any vendor’s hardware. For example, issues with data center cabling, configuration and connectivity from any vendor’s hardware are surfaced in the Marvis Actions UI (from Juniper® Apstra®) with suggested proactive actions. Additionally, the Marvis conversational interface (CI) allows IT teams to pose direct queries and get simple, seamless insight into the data center product documentation and knowledgebase using GenAI. 

Data center actions are shown in a single UI alongside similar Marvis actions for wired access, wireless access and secure SD-WAN. In addition, the same Marvis CI is used for generative knowledge base queries across all Juniper products. For the first time ever, Juniper customers have a single VNA for end-to-end visibility and assurance across all enterprise domains. 

Networking for AI: High Performing and Scalable Networks for AI Training and Inference

Juniper is expanding its AI Data Center solution, which is the fastest and most flexible way to deploy high performing AI training and inference clusters, and the simplest to operate with limited IT resources. The Juniper solution consists of a spine-leaf data center architecture with a foundation of QFX switches and PTX routers operated by Juniper Apstra, the only multivendor solution for DC fabric management, automation and assurance. With unique intent-based operations via Apstra, the new Marvis VNA for data center and validated AI designs, Juniper takes much of the complexity out of AI Data Center networking design, deployment and troubleshooting, allowing customers to do more with fewer IT resources. The solution also delivers unsurpassed flexibility to customers, avoiding vendor lock-in with silicon diversity, multivendor switch management and a commitment to open, standards-based Ethernet fabrics.  

Building upon Juniper’s AI Data Center architectural advantages, the company is announcing the following new products and capabilities to drive even more speed, efficiency and scale:  

  • Juniper Apstra has been expanded to provide faster and more efficient processing of AI/ML traffic over Ethernet, including congestion management, load balancing and flow control.
  • New Express 5 silicon-based PTX routers and line cards with the promise of industry-leading performance and energy-efficient sustainability to enable the necessary massive scale with high-density 800GE capacity.  
  • A new QFX switch provides 2X the capacity of the previous generation and is the first announced data center switch from an Original Equipment Manufacturer using the most advanced Broadcom Tomahawk 5 silicon for 800GE. 

Both the new PTX and QFX platforms support high 800GE port density and the necessary AI infrastructure protocols, including RDMA over Ethernet (RoCE v2) for power-efficient and scalable AI Data Center networking.

Sustainability Considerations

The AI-Native Networking Platform exceeds sustainability requirements without sacrificing performance and security. Its AIOps enables fast and remote troubleshooting, significantly cutting inter-site travel by 85 percent in certain instances. Furthermore, it features power-efficient hardware which minimizes energy consumption and is modularly built to make repairs easier and prolong product life. 

Supporting Quotes:

“Our IT team used to spend hours troubleshooting network issues. Juniper’s AI-native Networking Platform changed everything. With its AI-powered insights from Marvis and automation, we’ve seen a 90 percent reduction in wireless-related issues reported by employees and a significant reduction to our mean time to resolution of issues, freeing up our team to focus on more strategic initiatives. Now, with Marvis Minis, we will be able to proactively find and resolve issues before they impact our user experience. Another amazing benefit is that Marvis Minis is fully integrated into our existing Marvis VNA subscription; there’s no need for additional hardware or software. It’s a game-changer for our network operations.”     

– Sajeev Nair, Senior Director Design & Build Engineering, ServiceNow  

“With Juniper Mist, we can quickly diagnose network problems. Now, with Marvis Minis, we can proactively determine wireless performance issues before they impact the user experience for our staff and students.”  

– Amel Caldwell, Assistant Director of Wireless and Mobile Communications, University of Washington

“Ashland School District has many sites across our district that we manage with Juniper Mist. We are thrilled to deploy Marvis Minis without the burden of installing additional overlay sensors. This enables us to save money and time while also delivering a reliable network experience to boost academic outcomes.” 

– Steve Mitzel, Executive Director of Operations, Ashland School District, Oregon

“Juniper’s AI-Native Platform provides comprehensive solutions for organizations seeking to transition from reactive to proactive and even predictive network troubleshooting and management. The combination of proven AIOps and the addition of synthetic testing enables highly available and optimized network environments. Juniper is extending its AI capabilities to the data center by coupling Marvis VNA with Apstra so it can provide end-to-end context and simplified use leveraging conversational AI interfaces. Additionally, Juniper’s AI-native solutions and switches can be applied to power back end GenAI network infrastructure. Organizations can take advantage of Juniper’s Validated Solutions to accelerate adoption and time to value of these GenAI environments.”

  • Bob Laliberte, Principal Analyst, Enterprise Strategy Group

Supporting Blogs

What Does it Really Mean to be AI-Native?: Rami Rahim

The Most Flexible Way to Deploy & Manage High-Performing Networks for AI Workloads: Jeff Aaron

Meet Marvis Minis: The Next Level of Network Optimization is Here: Sudheer Matta

About Juniper Networks

Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper’s AI-Native Networking Platform is built from the ground up across the AIOps layer and our systems to fully harness the power of AI. From real-time fault isolation to proactive anomaly detection and self-driving corrective actions, it provides campus, branch, data center, and WAN operations with next-level predictability, reliability, and security. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on X (Twitter), LinkedIn and Facebook.

Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire

theconverser.com
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Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire
Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire

Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs

Industry’s leading AIOps and virtual network assistant expanded with first integrated digital experience twinning and end-to-end insight across campus, branch and data center infrastructures; new additions to industry’s simplest and most flexible AI Data Center solutions that drive even more speed, scale and value

SUNNYVALE, Calif. – January 29, 2024 – Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native Networking, today announced the industry’s first AI-Native Networking Platform, purpose-built to leverage AI to assure the best end-to-end operator and end-user experiences. Trained on seven years of insights and data science development, Juniper’s AI-Native Networking Platform was designed from the ground up to assure that every connection is reliable, measurable and secure for every device, user, application and asset.

Unique to the industry, Juniper’s AI-Native Networking Platform unifies all campus, branch and data center networking solutions with a common AI engine and Marvis Virtual Network Assistant (VNA). This enables end-to-end AI for IT Operations (AIOps) to be used for deep insight, automated troubleshooting and seamless end-to-end networking assurance, which elevates IT teams’ focus from maintaining basic network connectivity to delivering exceptional and secure end-to-end experiences for students, staff, patients, guests, customers and employees. The Juniper AI-Native Networking Platform provides the simplest and most assured Day 0/1/2+ operations, resulting in up to 85 percent lower operational expenditures than traditional solutions, demonstrates the elimination of up to 90 percent of network trouble tickets, 85 percent of IT onsite visits and up to 50 percent reduction in network incident resolution times. 

“AI is the biggest technology inflection point since the internet itself, and its ongoing impact on networking cannot be understated. At Juniper, we have seen first-hand how our game changing AIOps has saved thousands of global enterprises significant time and money while delighting the end user with a superior experience. Our AI-Native Networking Platform represents a bold new direction for Juniper, and for our industry. By extending AIOps from the end user all the way to the application, and across every network domain in between, we are taking a big step toward making network outages, trouble tickets and application downtime things of the past.”

  • Rami Rahim, Chief Executive Officer, Juniper Networks

Within the new AI-Native Networking Platform, Juniper is introducing several new products that advance the experience-first mission, from more predictable, reliable and measurable IT operations using AI, to simpler high performance data center networks specifically designed for AI training and inference.

AI for Networking: Going Deeper and Wider with Marvis VNA

The new AI-Native Networking Platform includes two new enhancements to Marvis, the only AI-Native VNA in the industry driven by Mist AI, with proactive recommendations and self-driving operations plus a conversation interface (using GenAI for some use cases). With the following new capabilities, Juniper customers and partners get even more automation and insight:

  • Marvis Minis: the only AI-Native Networking Digital Experience Twin, uses Mist AI to proactively simulate user connections to instantly validate network configurations and find/detect problems without users being present. Minis simulates end user/client/device/app traffic to learn the network configuration via unsupervised machine learning and to proactively highlight network issues. Data from Minis is continuously fed back into the Mist AI engine, providing an additional source of insight for the best AIOps responses. 

No manual configuration is required, as Minis is always on and can be deployed automatically during periods of low network usage (e.g. at midnight on weekends) or via trigger events (e.g. after a network configuration change). Also, unlike conventional digital twinning solutions and synthetic testing, Marvis Minis integrates directly with the network, eliminating manual monitoring and analysis via external sensors, clients and applications. 

  • Marvis Virtual Network Assistant (VNA) for the Data Center: Juniper is introducing the first and only AI-Native VNA for the data center, delivering the best insight throughout the entire data center lifecycle across any vendor’s hardware. For example, issues with data center cabling, configuration and connectivity from any vendor’s hardware are surfaced in the Marvis Actions UI (from Juniper® Apstra®) with suggested proactive actions. Additionally, the Marvis conversational interface (CI) allows IT teams to pose direct queries and get simple, seamless insight into the data center product documentation and knowledgebase using GenAI. 

Data center actions are shown in a single UI alongside similar Marvis actions for wired access, wireless access and secure SD-WAN. In addition, the same Marvis CI is used for generative knowledge base queries across all Juniper products. For the first time ever, Juniper customers have a single VNA for end-to-end visibility and assurance across all enterprise domains. 

Networking for AI: High Performing and Scalable Networks for AI Training and Inference

Juniper is expanding its AI Data Center solution, which is the fastest and most flexible way to deploy high performing AI training and inference clusters, and the simplest to operate with limited IT resources. The Juniper solution consists of a spine-leaf data center architecture with a foundation of QFX switches and PTX routers operated by Juniper Apstra, the only multivendor solution for DC fabric management, automation and assurance. With unique intent-based operations via Apstra, the new Marvis VNA for data center and validated AI designs, Juniper takes much of the complexity out of AI Data Center networking design, deployment and troubleshooting, allowing customers to do more with fewer IT resources. The solution also delivers unsurpassed flexibility to customers, avoiding vendor lock-in with silicon diversity, multivendor switch management and a commitment to open, standards-based Ethernet fabrics.  

Building upon Juniper’s AI Data Center architectural advantages, the company is announcing the following new products and capabilities to drive even more speed, efficiency and scale:  

  • Juniper Apstra has been expanded to provide faster and more efficient processing of AI/ML traffic over Ethernet, including congestion management, load balancing and flow control.
  • New Express 5 silicon-based PTX routers and line cards with the promise of industry-leading performance and energy-efficient sustainability to enable the necessary massive scale with high-density 800GE capacity.  
  • A new QFX switch provides 2X the capacity of the previous generation and is the first announced data center switch from an Original Equipment Manufacturer using the most advanced Broadcom Tomahawk 5 silicon for 800GE. 

Both the new PTX and QFX platforms support high 800GE port density and the necessary AI infrastructure protocols, including RDMA over Ethernet (RoCE v2) for power-efficient and scalable AI Data Center networking.

Sustainability Considerations

The AI-Native Networking Platform exceeds sustainability requirements without sacrificing performance and security. Its AIOps enables fast and remote troubleshooting, significantly cutting inter-site travel by 85 percent in certain instances. Furthermore, it features power-efficient hardware which minimizes energy consumption and is modularly built to make repairs easier and prolong product life. 

Supporting Quotes:

“Our IT team used to spend hours troubleshooting network issues. Juniper’s AI-native Networking Platform changed everything. With its AI-powered insights from Marvis and automation, we’ve seen a 90 percent reduction in wireless-related issues reported by employees and a significant reduction to our mean time to resolution of issues, freeing up our team to focus on more strategic initiatives. Now, with Marvis Minis, we will be able to proactively find and resolve issues before they impact our user experience. Another amazing benefit is that Marvis Minis is fully integrated into our existing Marvis VNA subscription; there’s no need for additional hardware or software. It’s a game-changer for our network operations.”     

– Sajeev Nair, Senior Director Design & Build Engineering, ServiceNow  

“With Juniper Mist, we can quickly diagnose network problems. Now, with Marvis Minis, we can proactively determine wireless performance issues before they impact the user experience for our staff and students.”  

– Amel Caldwell, Assistant Director of Wireless and Mobile Communications, University of Washington

“Ashland School District has many sites across our district that we manage with Juniper Mist. We are thrilled to deploy Marvis Minis without the burden of installing additional overlay sensors. This enables us to save money and time while also delivering a reliable network experience to boost academic outcomes.” 

– Steve Mitzel, Executive Director of Operations, Ashland School District, Oregon

“Juniper’s AI-Native Platform provides comprehensive solutions for organizations seeking to transition from reactive to proactive and even predictive network troubleshooting and management. The combination of proven AIOps and the addition of synthetic testing enables highly available and optimized network environments. Juniper is extending its AI capabilities to the data center by coupling Marvis VNA with Apstra so it can provide end-to-end context and simplified use leveraging conversational AI interfaces. Additionally, Juniper’s AI-native solutions and switches can be applied to power back end GenAI network infrastructure. Organizations can take advantage of Juniper’s Validated Solutions to accelerate adoption and time to value of these GenAI environments.”

  • Bob Laliberte, Principal Analyst, Enterprise Strategy Group

Supporting Blogs

What Does it Really Mean to be AI-Native?: Rami Rahim

The Most Flexible Way to Deploy & Manage High-Performing Networks for AI Workloads: Jeff Aaron

Meet Marvis Minis: The Next Level of Network Optimization is Here: Sudheer Matta

About Juniper Networks

Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper’s AI-Native Networking Platform is built from the ground up across the AIOps layer and our systems to fully harness the power of AI. From real-time fault isolation to proactive anomaly detection and self-driving corrective actions, it provides campus, branch, data center, and WAN operations with next-level predictability, reliability, and security. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on X (Twitter), LinkedIn and Facebook.

Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs

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Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire
Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs – PRWire

Juniper Networks Unveils Industry’s First AI-Native Networking Platform to Deliver Exceptional User Experiences and Lower Operational Costs

Industry’s leading AIOps and virtual network assistant expanded with first integrated digital experience twinning and end-to-end insight across campus, branch and data center infrastructures; new additions to industry’s simplest and most flexible AI Data Center solutions that drive even more speed, scale and value

SUNNYVALE, Calif. – January 29, 2024 – Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native Networking, today announced the industry’s first AI-Native Networking Platform, purpose-built to leverage AI to assure the best end-to-end operator and end-user experiences. Trained on seven years of insights and data science development, Juniper’s AI-Native Networking Platform was designed from the ground up to assure that every connection is reliable, measurable and secure for every device, user, application and asset.

Unique to the industry, Juniper’s AI-Native Networking Platform unifies all campus, branch and data center networking solutions with a common AI engine and Marvis Virtual Network Assistant (VNA). This enables end-to-end AI for IT Operations (AIOps) to be used for deep insight, automated troubleshooting and seamless end-to-end networking assurance, which elevates IT teams’ focus from maintaining basic network connectivity to delivering exceptional and secure end-to-end experiences for students, staff, patients, guests, customers and employees. The Juniper AI-Native Networking Platform provides the simplest and most assured Day 0/1/2+ operations, resulting in up to 85 percent lower operational expenditures than traditional solutions, demonstrates the elimination of up to 90 percent of network trouble tickets, 85 percent of IT onsite visits and up to 50 percent reduction in network incident resolution times. 

“AI is the biggest technology inflection point since the internet itself, and its ongoing impact on networking cannot be understated. At Juniper, we have seen first-hand how our game changing AIOps has saved thousands of global enterprises significant time and money while delighting the end user with a superior experience. Our AI-Native Networking Platform represents a bold new direction for Juniper, and for our industry. By extending AIOps from the end user all the way to the application, and across every network domain in between, we are taking a big step toward making network outages, trouble tickets and application downtime things of the past.”

  • Rami Rahim, Chief Executive Officer, Juniper Networks

Within the new AI-Native Networking Platform, Juniper is introducing several new products that advance the experience-first mission, from more predictable, reliable and measurable IT operations using AI, to simpler high performance data center networks specifically designed for AI training and inference.

AI for Networking: Going Deeper and Wider with Marvis VNA

The new AI-Native Networking Platform includes two new enhancements to Marvis, the only AI-Native VNA in the industry driven by Mist AI, with proactive recommendations and self-driving operations plus a conversation interface (using GenAI for some use cases). With the following new capabilities, Juniper customers and partners get even more automation and insight:

  • Marvis Minis: the only AI-Native Networking Digital Experience Twin, uses Mist AI to proactively simulate user connections to instantly validate network configurations and find/detect problems without users being present. Minis simulates end user/client/device/app traffic to learn the network configuration via unsupervised machine learning and to proactively highlight network issues. Data from Minis is continuously fed back into the Mist AI engine, providing an additional source of insight for the best AIOps responses. 

No manual configuration is required, as Minis is always on and can be deployed automatically during periods of low network usage (e.g. at midnight on weekends) or via trigger events (e.g. after a network configuration change). Also, unlike conventional digital twinning solutions and synthetic testing, Marvis Minis integrates directly with the network, eliminating manual monitoring and analysis via external sensors, clients and applications. 

  • Marvis Virtual Network Assistant (VNA) for the Data Center: Juniper is introducing the first and only AI-Native VNA for the data center, delivering the best insight throughout the entire data center lifecycle across any vendor’s hardware. For example, issues with data center cabling, configuration and connectivity from any vendor’s hardware are surfaced in the Marvis Actions UI (from Juniper® Apstra®) with suggested proactive actions. Additionally, the Marvis conversational interface (CI) allows IT teams to pose direct queries and get simple, seamless insight into the data center product documentation and knowledgebase using GenAI. 

Data center actions are shown in a single UI alongside similar Marvis actions for wired access, wireless access and secure SD-WAN. In addition, the same Marvis CI is used for generative knowledge base queries across all Juniper products. For the first time ever, Juniper customers have a single VNA for end-to-end visibility and assurance across all enterprise domains. 

Networking for AI: High Performing and Scalable Networks for AI Training and Inference

Juniper is expanding its AI Data Center solution, which is the fastest and most flexible way to deploy high performing AI training and inference clusters, and the simplest to operate with limited IT resources. The Juniper solution consists of a spine-leaf data center architecture with a foundation of QFX switches and PTX routers operated by Juniper Apstra, the only multivendor solution for DC fabric management, automation and assurance. With unique intent-based operations via Apstra, the new Marvis VNA for data center and validated AI designs, Juniper takes much of the complexity out of AI Data Center networking design, deployment and troubleshooting, allowing customers to do more with fewer IT resources. The solution also delivers unsurpassed flexibility to customers, avoiding vendor lock-in with silicon diversity, multivendor switch management and a commitment to open, standards-based Ethernet fabrics.  

Building upon Juniper’s AI Data Center architectural advantages, the company is announcing the following new products and capabilities to drive even more speed, efficiency and scale:  

  • Juniper Apstra has been expanded to provide faster and more efficient processing of AI/ML traffic over Ethernet, including congestion management, load balancing and flow control.
  • New Express 5 silicon-based PTX routers and line cards with the promise of industry-leading performance and energy-efficient sustainability to enable the necessary massive scale with high-density 800GE capacity.  
  • A new QFX switch provides 2X the capacity of the previous generation and is the first announced data center switch from an Original Equipment Manufacturer using the most advanced Broadcom Tomahawk 5 silicon for 800GE. 

Both the new PTX and QFX platforms support high 800GE port density and the necessary AI infrastructure protocols, including RDMA over Ethernet (RoCE v2) for power-efficient and scalable AI Data Center networking.

Sustainability Considerations

The AI-Native Networking Platform exceeds sustainability requirements without sacrificing performance and security. Its AIOps enables fast and remote troubleshooting, significantly cutting inter-site travel by 85 percent in certain instances. Furthermore, it features power-efficient hardware which minimizes energy consumption and is modularly built to make repairs easier and prolong product life. 

Supporting Quotes:

“Our IT team used to spend hours troubleshooting network issues. Juniper’s AI-native Networking Platform changed everything. With its AI-powered insights from Marvis and automation, we’ve seen a 90 percent reduction in wireless-related issues reported by employees and a significant reduction to our mean time to resolution of issues, freeing up our team to focus on more strategic initiatives. Now, with Marvis Minis, we will be able to proactively find and resolve issues before they impact our user experience. Another amazing benefit is that Marvis Minis is fully integrated into our existing Marvis VNA subscription; there’s no need for additional hardware or software. It’s a game-changer for our network operations.”     

– Sajeev Nair, Senior Director Design & Build Engineering, ServiceNow  

“With Juniper Mist, we can quickly diagnose network problems. Now, with Marvis Minis, we can proactively determine wireless performance issues before they impact the user experience for our staff and students.”  

– Amel Caldwell, Assistant Director of Wireless and Mobile Communications, University of Washington

“Ashland School District has many sites across our district that we manage with Juniper Mist. We are thrilled to deploy Marvis Minis without the burden of installing additional overlay sensors. This enables us to save money and time while also delivering a reliable network experience to boost academic outcomes.” 

– Steve Mitzel, Executive Director of Operations, Ashland School District, Oregon

“Juniper’s AI-Native Platform provides comprehensive solutions for organizations seeking to transition from reactive to proactive and even predictive network troubleshooting and management. The combination of proven AIOps and the addition of synthetic testing enables highly available and optimized network environments. Juniper is extending its AI capabilities to the data center by coupling Marvis VNA with Apstra so it can provide end-to-end context and simplified use leveraging conversational AI interfaces. Additionally, Juniper’s AI-native solutions and switches can be applied to power back end GenAI network infrastructure. Organizations can take advantage of Juniper’s Validated Solutions to accelerate adoption and time to value of these GenAI environments.”

  • Bob Laliberte, Principal Analyst, Enterprise Strategy Group

Supporting Blogs

What Does it Really Mean to be AI-Native?: Rami Rahim

The Most Flexible Way to Deploy & Manage High-Performing Networks for AI Workloads: Jeff Aaron

Meet Marvis Minis: The Next Level of Network Optimization is Here: Sudheer Matta

About Juniper Networks

Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper’s AI-Native Networking Platform is built from the ground up across the AIOps layer and our systems to fully harness the power of AI. From real-time fault isolation to proactive anomaly detection and self-driving corrective actions, it provides campus, branch, data center, and WAN operations with next-level predictability, reliability, and security. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on X (Twitter), LinkedIn and Facebook.

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