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Are You a Drug Company or a Data Company That Produces Drugs?
Life sciences organizations are generating unprecedented volumes of data while leaving most of it unused. Treating data as a currency rather than inventory is a strategic imperative, not a technology preference. The economics of data in motion, the artificial intelligence (AI) readiness gap, and the WWT Return on Research (ROR) framework all point to the conclusion that organizations that move data intelligently will lead. A short diagnostic quiz helps leaders gauge where they stand today.
Juniper SSR SD-WAN Foundation Lab
The Juniper SSR SD-WAN Foundations Lab is a capability of the Advanced Technology Center (ATC) designed to showcase the concept of a Juniper Session Smart Network and demonstrates how it functions in a real-world scenario. The environment that supports the lab is completely virtual, removing any hardware dependencies associated with physical infrastructure.
HPE Private Cloud AI - Guided Walkthrough
This lab is intended to give you an overview of HPE Private Cloud AI, HPE's turnkey solution for on-prem AI workloads. HPE has paired with NVIDIA's AI Enterprise software giving customers a scalable on-prem solution that can handle multiple different AI workloads from Inference, RAG, model fine-tuning, and model training.
Azure Virtual WAN: A Deep Dive Into Microsoft's Cloud Networking Architecture
Get a deep dive into Azure Virtual WAN architecture, including some key points that speak to why organizations might want to look into this as a means to connect campus and branch locations to the Azure cloud.
What is Cloud Data Management?
We answer the question "What is Cloud Data Management (CDM)?" and provide insights into how to turn a traditional data center into a public or hybrid cloud data management lifecycle.
What's new
Partner POV | The elephant in the server room: The overlooked energy cost of mainstream compute
Mainstream compute uses way more electricity than AI – So why aren't we talking about it?
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.
World Wide Technology Named HPE's 2026 Global Solution Provider of the Year, North America and UKIMEA AI Partner of the Year, and UKIMEA Financial Services Partner of the Year
Honoring partners who have demonstrated outstanding dedication and success in providing value to their customers and helping them realize their full growth potential
Partner POV | The road to quantum advantage starts with supercomputing
HPE's Head of HPC & AI, Trish Damkroger, discusses the role of supercomputing and highlights global collaboration with innovators to realize future solutions for quantum advantage
What Stepping Into the Spotlight Taught Me About Growth, Grit and Sales at WWT
When opportunity knocks, sometimes it comes with cameras. In this blog, I share my experience on The Channel Reality Show and lessons learned along the way.
Partner POV | Agentic AI-powered storage with HPE Alletra Storage MP X10000
Orchestrate data management and operations through GreenLake Copilot with Model Context Protocol (MCP) natively built into the X10000. Connecting the built-in data intelligence layer of X10000 with internal and external AI agents ensures AI workflows are fed with unstructured data and metadata-based intelligence.
Partner POV | HPE Self-Driving Network
It's time to stop running today's business on yesterday's network.
Partner POV | HPE Alletra Storage MP X10000 Explainer Video
Accelerate AI pipelines with a high-performance, intelligent data platform—boosting throughput, maximizing GPU utilization, and turning data into AI-ready insight faster.
Multi-Layer, Multi-Vendor (MLMV) Core Networking Guided Lab
WWT's Multi-Layer Multi-Vendor (MLMV) lab is an innovative and versatile physical lab environment focused on core networking. It is designed to demonstrate the integration of technologies from Layer 0 (the physical layer) to Layer 3 (the network layer) across multiple vendors in a cohesive system. This lab is designed to be custom-tailored to your specific needs. During this briefing, we will share an overview of the MLMV lab environment, discuss our capabilities, and develop a high-level plan to meet your needs.
Are You a Drug Company or a Data Company That Produces Drugs?
Life sciences organizations are generating unprecedented volumes of data while leaving most of it unused. Treating data as a currency rather than inventory is a strategic imperative, not a technology preference. The economics of data in motion, the artificial intelligence (AI) readiness gap, and the WWT Return on Research (ROR) framework all point to the conclusion that organizations that move data intelligently will lead. A short diagnostic quiz helps leaders gauge where they stand today.
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.
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.
Part 5: Transforming IT Operations: A Patch & Vulnerability Prioritization Agent
Learn how WWT, HPE and NVIDIA are helping IT teams easily optimize their data center device patching efforts.
Decoupled by Design: Why Cloud-managed Networks Still Require On-premises Data Plane Aggregation
With Cisco's Campus Gateway and Juniper's Mist Edge converging on the same architectural principle, centralized data-plane aggregation is now an expectation.
Hands-On Lab Workshop: Juniper Mist Campus Fabric – EVPN Multihoming
Join us for an interactive, hands-on workshop exploring the Juniper Mist Campus Fabric EVPN Multihoming solution. This session introduces how Mist's cloud-native architecture simplifies campus operations, enhances resiliency, and enables scalable, policy-driven networking across modern enterprise environments. Attendees will work within the Mist platform to understand how campus fabric technologies streamline onboarding, configuration, and operations by leveraging automation and AI‑driven insights. This workshop provides practical exposure to designing and deploying reliable, modernized wired campus fabric using EVPN Multihoming.
Compute Infrastructure Market Scan Workshop
The Compute Infrastructure Market Scan Workshop empowers organizations to make strategic, evidence-based infrastructure decisions. By aligning technology with business outcomes, it reduces risk and enhances decision-making. Ideal for leaders in technology and operations, it offers data-driven insights for platform strategy, modernization, and future-ready initiatives like AI and hybrid cloud.
Data Center Networking Market Scan Workshop
The Data Center Networking Market Scan Workshop empowers organizations to make informed, strategic networking decisions. By aligning technology with business outcomes, it reduces risk and enhances operational efficiency. Ideal for leaders in technology and operations, it supports modernization, automation, and future-ready infrastructure planning.
Why Networking Must Evolve Now: 3 Key Takeaways from HPE Tech Jam 2026
At HPE Tech Jam 2026, networking emerged as mission-critical infrastructure powering AI, hybrid cloud and digital operations. As Praveen Jain highlighted, rising complexity and scale demand automation and intent-based networking. Platforms like Juniper Apstra enable resilient, AI-ready data center networks—giving modern enterprises a critical competitive edge.
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.
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.