16 results found

Partner POV | Building secure, AI-native networks: Four imperatives for the agentic era

AI is evolving fast, and your network has to keep up. How? Prioritize four imperatives to help ensure your setup can deliver performance, flexibility, and security—at scale.
Partner Contribution
•Feb 20, 2026

AMD and HPE Expand Collaboration to Advance Open Rack-Scale AI Infrastructure

HPE will be one of the first OEMs to adopt the AMD "Helios" architecture, an open, full-stack AI platform engineered for large-scale AI workloads.
Partner Contribution
•Dec 31, 2025

Partner POV | AI/ML Data Center Networking on Ethernet

In part one of this blog series that outlines the key role that networking plays in AI/ML workloads, we examine data transfer protocols and congestion considerations.
Partner Contribution
•Jun 18, 2024

Partner POV | Building a Zero-Trust Foundation with Juniper Mist Access Assurance

To secure Wi-Fi 7 networks effectively, leverage Juniper Mist Access Assurance for robust NAC with AI-driven security, automation, and comprehensive compliance.
Partner Contribution
•Jan 29, 2025

Partner POV | What Does It Really Mean to Be AI-Native?

Introducing Juniper's AI-Native Networking Platform, which extends AI throughout our whole portfolio to assure experiences and simplify operations end-to-end across every network domain.
Partner Contribution
•Jun 13, 2024

Partner POV | Stage 1 on a journey to the Self-Driving Network™: data

Great AI demands great data. Juniper Networks' Self-Driving Network™ journey prioritizes user experience, leveraging real-time data and collaboration between data scientists and customer success teams. By transforming data into actionable insights, Juniper enhances network performance, empowering users and driving business outcomes.
Partner Contribution
•Jul 29, 2025

Partner POV | Delivering Unbeatable AI-Native Networking Experiences with Data Center Cloud Services

Juniper's AI-Native Networking Platform leverages structured data for better AI models, providing a strong foundation for future AIOps applications.
Partner Contribution
•Mar 14, 2025

Partner POV | A journey to the Self-Driving Network™ is built on trust in AI

Embark on a transformative journey to the Self-Driving Network™, where AI and automation revolutionize networking. Like self-driving cars, networks evolve through stages, building trust and enhancing reliability. Discover how AI augments human capabilities, enabling smarter networks and freeing IT teams to innovate.
Partner Contribution
•Jul 15, 2025

Partner POV | Expanding customer choice in Wi-Fi 7 with Juniper AP27 High-Performance Access Point

Wi-Fi 7 is revolutionizing connectivity with higher throughput and lower latency, meeting the demands of AI and real-time applications. HPE's new AP27 access point offers cost-effective, reliable performance, enabling organizations to standardize on Wi-Fi 7. With AI-driven management, networks become adaptive and autonomous, optimizing user experiences and IT operations.
Partner Contribution
•Mar 18, 2026

Partner POV | Streamline IT ticket management with Juniper Apstra ServiceNow PowerPack

Juniper has introduced Juniper Apstra Cloud Services and the Juniper Apstra ServiceNow PowerPack which aim to simplify network management and enhance collaboration by integrating Juniper Apstra's monitoring capabilities with ServiceNow, a leading IT management platform.
Partner Contribution
•Mar 18, 2025

Partner POV | AI-native innovations extend Juniper's data center networking leadership

Juniper Networks revolutionizes data center management with AI-driven innovations, offering predictive insights and application assurance. Leveraging Mist and Marvis AI, Juniper empowers operators to foresee issues, enhancing network reliability and performance. Discover a future where data centers predict and prevent problems, ensuring seamless operations and superior application delivery.
Partner Contribution
•Jul 29, 2025

Partner POV | Automate AI training and inference data centers with Juniper Apstra

Apstra capabilities are designed to streamline the process and reduce errors, making it easier for organizations to implement and manage AI workloads.
Partner Contribution
•Jan 29, 2025