Cisco AI Cluster Networking Operations DLB Demo

In this short article, Steve Puluka provided an overview of Cisco’s AI Cluster Networking Operations with a focus on the Dynamic Load Balancing (DLB) feature. This demo highlighted how DLB optimizes network performance and efficiency by intelligently managing traffic loads across server nodes. For additional insights from Networking Field Day 39, follow Steve Puluka’s posts on LinkedIn Pulse.

Graphiant’s NaaS Connects You To Everything & Stays Out Of Your Way

Drew Conry-Murray and Ethan Banks provide an insightful overview of Graphiant’s Network-as-a-Service (NaaS) offering, emphasizing its seamless integration capabilities and non-intrusive operational model. The service aims to simplify connectivity for enterprises by offering flexible, scalable, and efficient networking solutions that minimize complexities typically associated with large network management. Find more coverage from Networking Field Day 39 on Packet Pushers.

Cisco AI Cluster Networking Design

Steve Puluka’s latest post provides a quick look at Cisco’s innovative approach to AI Cluster Networking Design, highlighting how Cisco is optimizing network infrastructure to better support AI and machine learning workloads. Puluka explains the technical intricacies and potential benefits of Cisco’s design, including enhanced data processing and connectivity. For additional from Networking Field Day 39, follow Steve Puluka on LinkedIn Pulse.

Graphiant Makes Network Governance King in the AI Era

Tom Hollingsworth recently discussed how Graphiant is revolutionizing network governance by leveraging artificial intelligence to enhance control and visibility across networks. He explained that this evolution is crucial as we navigate through the expanding complexities within IT environments. To watch for more coverage from Networking Field Day 39 at Techstrong IT.

Cisco AI Networking Cluster Operations Deep Dive

In this brief article, Steve Puluka summarizes Cisco’s AI Networking Cluster Operations, showcasing how advanced artificial intelligence is integrated into Cisco’s network operations to enhance efficiency and analytics. The review highlights key features, functionalities, and the impact of AI on network management, demonstrating practical implementations and case studies. For additional insights into Cisco’s presentations at Networking Field Day 39, follow Steve Puluka’s articles on LinkedIn Pulse.

Nokia Makes The Case To Be The Heart Of Your Automated Data Center

Nokia is positioning itself as the central solution for automated data centers, advancing a compelling narrative for its sophisticated technologies and integrated approaches aimed at enhancing data center operations. They articulate a vision where their network infrastructure could streamline automation and meet the emerging needs of modern digital enterprises. Learn more in this discussion between Ethan Banks and Drew Conry-Murray on Packet Pushers following Networking Field Day 39.

Building Better Operations with Nokia EDA

Tom Hollingsworth recently explored how Nokia’s EDA (Extreme Data Analytics) platform is enhancing operational processes by leveraging advanced analytics to automate and optimize network performance. This system not only improves efficiency but also significantly reduces operational overheads, empowering network operators with more agile and scalable solutions. For further coverage from Networking Field Day 39, watch Techstrong IT.

Inside an AI Cluster: Breaking Down the 5 Networks Powering Modern AI Infrastructure

Dustin Demers’ article explains Cisco’s AI Networking presentation, highlighting the importance of five interdependent networks in modern AI clusters. These networks, including front-end, storage, management, inter-GPU backend, and data center fabric, ensure performance, reliability, and scalability for AI infrastructure. Watch for more coverage from Networking Field Day 39 on Dustin’s site!

Cisco AI Networking Vision and Operational Strategies

Steve Puluka provides a quick review of Cisco’s Networking Field Day 39 presentation on AI networking vision and operational strategies, showcasing how AI integration is poised to transform network management and efficiency. He highlights the potential impacts and benefits for businesses, emphasizing enhanced automation and predictive capabilities. Watch for more reactions from Steve on his LinkedIn account!

Network Automation Needs Standards

Automation is the best way to scale network deployment and operations. But the lack of formal standards in the field cause delays and wasted resources. In this episode of the Tech Field Day Podcast, Tom Hollingsworth is joined by Denise Donohue, Steve Puluka, and Kevin Myers. They discuss how some common things have emerged more from consensus and not from formalized standards bodies. The panel also discuss the value of using open ideas and not being forced into a single-vendor solution. They also discuss regulations and the likelihood that an organization like the IETF or IEEE will pick up the task of formalizing automation standards.

The Rise of DDoS Attacks and Nokia’s $4B AI Networking Bet | TSG Ep. 974

The November 25 episode of Techstrong Gang focuses on massive DDoS attacks, the emergence os Tennessee as an AI datacenter hub, and Nokia’s rise as a provider of AI infrastructure leader with a $4 billion investment announced. Stephen Foskett discussed Nokia’s recent appearance at Networking Field Day 39, where the company made the case that it deserves a seat at the table in AI networking, as well as new management and investments. Learn more about Nokia’s AI infrastructure at AI Infrastructure Field Day 4 in January.

Graphiant Demos Network Service Connections

Steve Puluka recently offered an overview of Graphiant and their innovative approach to managing network service connections. During this demonstration, Graphiant showed that their solutions can seamlessly integrate into existing network infrastructures to enhance connectivity and performance. For more video reactions from Networking Field Day 39, follow Steve Puluka on LinkedIn!

Exploring the Power and Potential of Enhanced AIOps with Nokia

Steve Puluka provides a quick analysis of Nokia’s advancements in AIOps, highlighting the enhanced capabilities and potential impacts on network management and optimization. His review discusses the integration of AI technologies with operational processes to improve efficiency and predictability in network operations. For more video highlights from Networking Field Day 39 by Steve Puluka, follow his updates on LinkedIn Pulse.

About Graphiant NaaS with Arsalan Khan

Arsalan Khan recently shared insights into Graphiant’s Network as a Service (NaaS) offerings, providing an overview of how this technology stands out in today’s crowded market. He emphasized the technical intricacies and business applications of Graphiant NaaS, illustrating its potential to revolutionize connectivity. This is part of Steve Puluka’s Networking Field Day 39 video highlight series on LinkedIn.

Nokia Event-Driven Automation (EDA) Multi Vendor – Deliver on the Promise

Steve Puluka provides a quick analysis of the Nokia Event-Driven Automation (EDA) Multi Vendor initiative, highlighting its potential to streamline and enhance telecom network operations through advanced, automated solutions. He examines how this technology promises to improve service reliability and operational efficiency by enabling more responsive and adaptive network management across multiple vendors. For more reactions to Networking Field Day 39, follow Steve Puluka’s ongoing coverage on LinkedIn Pulse.

Graphiant Use Cases with Arsalan Khan

In this informative video link, Steve Puluka provides an discussion on a variety of Graphiant use cases presented by Arsalan Khan. He explores practical applications and the operational benefits that Graphiant technology offers, enhancing understanding of its impact in real-world settings. Watch for more video reactions from Steve Puluka following Networking Field Day 39 on LinkedIn!

NFD39: Graphiant’s Excellent AI Support

In a recent article by Peter J. Welcher, Graphiant’s AI support capabilities were discussed, highlighting its impactful role in enhancing network function. The discussion centered around technical advancements and the practical application of AI in improving operational efficiencies. For more insights from Networking Field Day 39, follow Peter Welcher on LinkedIn!

Graphiant: Rethinking Wide-Area Networking with a Stateless, Service-Based Model

Graphiant is revolutionizing the wide-area networking landscape by introducing a stateless, service-based networking model that promises to simplify operations and enhance flexibility for enterprises. Their innovative approach addresses traditional WAN complexities by decoupling networking hardware from service management, allowing businesses to respond more dynamically to changing network demands. Find more coverage of Networking Field Day 39 on Dustin Demers’ blog.

Nokia’s Event-Driven Automation: Simplifying AI Backend Networks

Nokia has recently introduced its Event-Driven Automation system, designed to streamline AI backend networks by automatically managing network events in a more efficient manner. This innovation offers enterprise IT professionals a robust solution for reducing the complexity and operational costs associated with managing expansive and data-intensive network environments. For additional insights from Networking Field Day 39, watch Dustin Demers’ blog.

The Resource Costs of AI

Steve Puluka examines the significant resources required to train artificial intelligence models, highlighting the high demands in terms of energy, computing power, and data. He discusses the broader implications of these demands on infrastructure and the global environment, urging a balanced approach to AI development. For additional commentary following Networking Field Day 39, follow Steve Puluka’s coverage on LinkedIn Pulse.