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World Wide Technology Unveils ARMOR: A Collaborative AI Security Framework with NVIDIA AI

The comprehensive ARMOR framework sets a new standard for secure, scalable, and responsible AI adoption across industries
Press Release
•Jan 6, 2026

Scott Data Embraces AI Transformation to Offer GPU as a Service

Learn how a data center leader partnered with WWT to validate and execute a strategic vision for providing on-demand access to the advanced high-performance infrastructure required to run today's most demanding AI workloads.
Case Study

Why Kubernetes is the Platform of Choice for Artificial Intelligence

This report explores Kubernetes' role in AI, analyzing its capabilities in managing AI workloads, its benefits over traditional infrastructure and its unique features that make it the platform of choice for AI.
WWT Research
•Aug 20, 2025

The GenAI Chatbot Transforming Network Operations at Southern California Edison

NVIDIA is collaborating with Southern California Edison (SCE) and WWT on Project Orca, an AI-driven platform that will set a new benchmark for proactive telecommunication network management in the utility industry. By integrating GenAI, machine learning and predictive analytics, the project will enhance operational efficiency, reliability and resilience at SCE's Network Operations Center (NOC) by reducing downtime, accelerating resolutions and optimizing resource allocation.
Case Study

Research Note: HPE NVIDIA Launch AI Factory Lab in France to Boost European AI Autonomy

HyperFRAME Research: HPE and NVIDIA are expanding their global AI factory initiatives by opening a sovereign AI Factory Lab in France and a separate Private AI Lab in London.
News
•Dec 11, 2025

What's new

World Wide Technology Unveils ARMOR: A Collaborative AI Security Framework with NVIDIA AI

The comprehensive ARMOR framework sets a new standard for secure, scalable, and responsible AI adoption across industries
Press Release
•Jan 6, 2026

Executive Foreword: AI Readiness Model for Operational Resilience (ARMOR)

WWT's ARMOR framework provides a practical and comprehensive AI security model. By embedding security from chip to cloud, ARMOR ensures resilience, enabling organizations to innovate confidently and achieve strategic goals in an interconnected, AI-driven landscape.
WWT Research
•Jan 5, 2026

Data Protection: Ensuring Integrated NVIDIA AI Security at Scale

Learn how a data-centric, zero trust approach can fortify your organization's most valuable asset: Its data. With maturity models, AI-specific strategies and implementation best practices, this guide will help you build resilient, compliant and recovery-ready data protection across hybrid and high-performance environments.
WWT Research
•Jan 5, 2026

​Cyber Resilience​: Ensuring Integrated NVIDIA AI Security at Scale

Learn how to build a resilient AI and HPC environment that withstands cyber threats and ensures business continuity. This strategic framework, grounded in zero trust and defense-in-depth principles, will help your organization prepare, respond and recover with maturity models, recovery planning and integrated security operations.
WWT Research
•Jan 5, 2026

Model Protection: Ensuring Integrated NVIDIA AI Security at Scale

AI models are high-value assets and high-risk targets. This guide introduces the model protection domain, detailing layered defenses like model scanning, runtime security, lifecycle traceability and red teaming to safeguard AI systems from adversarial threats, misuse and operational vulnerabilities. This guide also reveals how NVIDIA NeMo Guardrails transforms governance into real-time enforcement for enterprise AI systems.
WWT Research
•Jan 5, 2026

Secure Development Lifecycle (SDLC): Ensuring Integrated NVIDIA AI Security at Scale

Examine the evolving landscape of application security with a holistic lens and a practical roadmap for identifying, prioritizing, and remediating vulnerabilities. This guide explores how embedding security into every phase of the software development lifecycle strengthens resilience and trust.
WWT Research
•Jan 5, 2026

Secure AI Operations: Ensuring Integrated NVIDIA AI Security at Scale

Learn how modern security operations are evolving with the help of large language models (LLMs). By transforming reactive defenses into proactive strategies, you can enhance your organization's threat detection, streamline incident response and drive continuous improvement across the cybersecurity lifecycle.
WWT Research
•Jan 5, 2026

Infrastructure Security: Ensuring Integrated NVIDIA AI Security at Scale

Unlock scalable, risk-based identity security for AI and HPC environments with intelligent, zero-standing privilege architectures, and analyze the foundational controls, such as segmentation, device profiling and traffic visibility, that secure AI HPC platforms from the ground up.
WWT Research
•Jan 5, 2026

AI Governance, Risk and Compliance: Ensuring Integrated NVIDIA AI Security at Scale

Discover how WWT's AI Governance, Risk, and Compliance (GRC) framework empowers organizations to innovate responsibly. This report explores strategies for building ethical and transparent AI systems, addressing business challenges, and ensuring compliance.
WWT Research
•Jan 5, 2026

Partner POV | Unleashing the Power of Private AI: New Innovations from Broadcom with NVIDIA

Unlock AI's transformative potential with VMware Private AI Foundation and NVIDIA. With NVIDIA Blackwell architecture support, enterprises achieve unprecedented AI training and inference capabilities, simplifying infrastructure management and streamlining model deployment for a future-ready AI ecosystem.
Partner Contribution
•Jan 5, 2026

Partner POV | Cyber-ready AI: Why Enterprise AI Security Can't Stay in the Sandbox

AI is exposing architectural limitations in traditional storage. Learn more about security-first storage and how it can scale with enterprise needs and evolving threats.
Partner Contribution
•Jan 2, 2026

Partner POV | AI Factories Are Redefining Data Centers and Enabling the Next Era of AI

NVIDIA and its ecosystem partners are building AI factories at scale for the AI reasoning era — and every enterprise will need one.
Partner Contribution
•Dec 19, 2025

Azure Local Unleashed: Key Announcements from Microsoft Ignite 2025 and Beyond

Discover the biggest Azure Local announcements from Microsoft Ignite 2025 and the lead-up period. This blog highlights new features like enterprise-scale deployments, SAN support, NVIDIA GPU integration, and Microsoft 365 Local. Get a quick, clear overview of how Azure Local is transforming private and sovereign cloud solutions.
Blog
•Dec 18, 2025

NVIDIA and Cisco Unified Edge

Cisco Unified Edge integrates NVIDIA technologies to extend the performance and industry-specific capabilities of the platform.
Video
•1:36
•Dec 16, 2025

Partner POV | Explaining Tokens — the Language and Currency of AI

Tokens are units of data processed by AI models during training and inference, enabling prediction, generation and reasoning.
Partner Contribution
•Dec 16, 2025

Inside the AI Factory: NVIDIA's Playbook for Building AI at Scale

NVIDIA's John Gentry and WWT's Derek Elbert outline how AI factories are evolving from isolated GPU clusters into flexible, multi-tiered, distributed systems — and why data strategy, security and ecosystem partnerships now determine whether enterprises can keep pace.
Video
•Dec 16, 2025

Inside the AI Factory: Why Cisco Believes Security Will Define Our AI Future

Cisco's Nicolas Sagnes and World Wide Technology's Bob Watson outline why the next generation of AI infrastructure must be engineered as a secure, observable, full-stack system — and why enterprises relying on pilots risk falling behind.
Video
•1:45
•Dec 15, 2025

Research Note: HPE NVIDIA Launch AI Factory Lab in France to Boost European AI Autonomy

HyperFRAME Research: HPE and NVIDIA are expanding their global AI factory initiatives by opening a sovereign AI Factory Lab in France and a separate Private AI Lab in London.
News
•Dec 11, 2025

Part 3: Transforming IT Operations - An Incident Knowledge Assistant

Learn how WWT, HPE and NVIDIA are helping IT teams more quickly triage and resolve trouble tickets.
Blog
•Dec 9, 2025

Introduction to NVIDIA NIM for LLM

This learning path introduces NVIDIA NIM for LLM microservices, covering its purpose, formats, and benefits. You'll explore deployment options via API Catalog, Docker, and Kubernetes, and complete hands-on labs for Docker and Kubernetes-based inference workflows—building skills to deploy, scale, and integrate GPU-optimized LLMs into enterprise applications.
Learning Path