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HPE Private Cloud AI - Behind the Curtain
In this blog we will take a peek behind the curtain of HPE Private Cloud AI. This will give the infrastructure engineer an idea of what this solution and how they may end up supporting it.
AI Infrastructure Is Changing—and the Network Is Now Part of the Performance Engine
AI infrastructure is shifting from disconnected components to integrated systems where compute, storage, software, and networking are optimized together for scalable performance. As AI moves into production, the data center network becomes a critical driver of efficiency, directly impacting GPU utilization, latency, and overall workload performance. Modern AI environments demand high east-west traffic handling, strong observability, resiliency and automation. For enterprises, networking is no longer just connectivity—it is foundational to delivering predictable AI outcomes, improving operational simplicity and maximizing the value of AI investments.
HPE Discover 2026: Why Networking Is the Foundation of Enterprise AI
HPE Discover 2026 made one thing clear: AI success depends on the network beneath it. HPE's new AI-ready switches and self-driving network vision highlight the need for faster, more intelligent, secure infrastructure.
Apstra Networking a Use Case inside the AI Proving Ground
In this article, we will detail how and why we used Apstra, combined with Dell and Cisco switching, to create our backbone networking environment for the AIPG (AI Proving Ground). This backbone connects our GPUAAS, LLMAAS, VMware and OpenShift environments with a single common fabric.
Troubleshooting a Wireless Network - Information Gathering
This covers essential wireless troubleshooting strategies, focusing on isolating issues through a structured approach. It highlights key information to gather, such as client behavior, device type and signal strength metrics. Learn how to quickly assess symptoms, correlate data and determine root causes in dynamic Wi-Fi environments.
Building the Self-Driving Data Center: How Apstra's Contextual Graph and AI Are Transforming Operations
As AI workloads, GPU clusters and multi-site fabrics increase data center complexity, traditional monitoring and troubleshooting methods are becoming increasingly difficult to scale. Juniper Apstra addresses this challenge through intent-based networking and its Contextual Graph, which captures relationships between physical and logical network elements and continuously validates that the deployed environment aligns with the intended design.
The Connected Enterprise - Part 2: One Operational Story
How Mist, Apstra, Marvis, Flow and GreenLake Begin Connecting the Enterprise from Client to Cloud. Part 2 of 4
The Brownfield Reality: Why Juniper Is Gaining Momentum in Enterprise Data Center Networking
The reality in most enterprise data centers today is brownfield—not greenfield. Organizations are dealing with years of accumulated infrastructure, mixed vendor environments, operational complexity and limited staff, which is exactly why Juniper is gaining momentum in enterprise data center networking. Rather than forcing customers into a complete rip-and-replace approach, Juniper Apstra brings intent-based automation, continuous validation and multivendor support to existing environments, including Cisco, Arista and SONiC-based fabrics. That flexibility resonates with enterprises looking to modernize operations without disrupting production networks.
HPE Discover 2026: Why Networking Became the Foundation for Agentic AI
HPE Discover 2026 demonstrated that enterprise AI has entered a new phase—one focused less on individual technologies and more on building intelligent infrastructure capable of operating AI at scale.
Automated Frequency Coordination (AFC) for 6 GHz Wi-Fi
This blog post traces the history of Wi-Fi technology from its humble beginnings to its current applications and discusses the regulatory and technical obstacles that hinder the full utilization of the 6 GHz spectrum
5 Reasons Now Is the Right Time for Juniper and Apstra Data Center Networking
Data center networking is undergoing a significant transformation driven by AI workloads, operational challenges and the need for flexible, efficient network management. HPE Juniper Apstra, combined with Mist AI and Marvis, offers a modern approach to address these evolving demands.
Intent-Based Networking Is No Longer Optional: Why Juniper Apstra Is Winning in the Modern Data Center
Intent-based networking is no longer a future vision—it's a present-day necessity. As data centers evolve to support hybrid cloud, AI workloads, and multi-vendor complexity, legacy, configuration-driven models are breaking down. Forward-looking organizations are turning to intent-based networking to regain control, accelerate operations, and reduce risk—with Juniper Apstra leading the way as a proven platform for modern data center transformation.