Overview
Explore
Expertise
Ecosystem
What's popular
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
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.
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.
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.
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.
What's new
NVIDIA Channel Chief: Neoclouds Represent 'Next Phase Of Opportunity' For Partners
Craig Weinstein, NVIDIA's Americas channel chief, tells CRN that many channel partners are already seeing opportunities in the neocloud space, calling the AI-focused breed of cloud service providers an 'ever-growing and important segment of the market.'
Partner POV | Maximize AI Agent Performance with Data Flywheels Using NVIDIA NeMo Microservices
NVIDIA NeMo microservices empower businesses to maintain adaptive AI agents through a data flywheel strategy, ensuring continuous improvement and relevance. By leveraging GPU-accelerated tools, NeMo simplifies AI development, deployment, and evaluation, enhancing performance while reducing costs.
Partner POV | Armis Exposure Management & Security on NVIDIA BlueField-3 DPU
Armis and NVIDIA's collaboration revolutionizes Cyber-Physical System security with an agentless solution on BlueField-3 DPUs. This innovative approach enhances visibility, threat detection, and operational continuity across IT and OT environments, addressing legacy vulnerabilities and sophisticated threats without impacting performance, ensuring robust protection and seamless deployment.
Partner POV | CrowdStrike's Journey in Customizing NVIDIA Nemotron Models
CrowdStrike and NVIDIA collaborate to enhance security AI by fine-tuning Nemotron models for real-world SOC workflows. Leveraging millions of CQL queries and synthetic data, they develop a natural language-to-CQL model, improving accuracy and efficiency. This partnership exemplifies domain-specific AI adaptation, advancing autonomous security operations and threat detection.
Cisco's 2026 agenda prioritizes AI-ready infrastructure, connectivity
World Wide Technology recently published its IT infrastructure Modernization Priorities for 2026 report, which reinforced that the rise of AI has heightened the importance of IT modernization. Cisco's wide-ranging partnership with NVIDIA reinforces its plans to promote that kind of modernization.
CyberWire Business Briefing for 01.14.26
In this briefing, find investments and insights; services and solutions, products; mergers and acquisitions.
Priority Flow Control: The Stop Light of the AI Networking Highway
Priority Flow Control (PFC) acts like a traffic light, pausing specific data flows to prevent congestion and data loss in AI networks. By enabling lossless Ethernet fabrics, PFC enhances performance in AI workloads, crucial for applications like RDMA. Explore its implementation across various networking hardware for optimal network efficiency.
Partner POV | Schneider Electric delivers as liquid cooling takes center stage in AI data centers
Liquid cooling, once a niche technology, is now essential for AI-driven data centers. As GPU densities soar, hybrid cooling systems combining liquid and air are crucial. Expertise in design, simulation, and redundancy is vital to prevent overheating and ensure efficiency. Schneider Electric leads in innovative solutions, future-proofing AI infrastructure.
Weekly Cybertech Roundup: Highlights of the Week | 09 Jan 2026
From groundbreaking innovations to critical security updates, the Cybertech roundup highlights the key stories that are driving the industry forward.
Intelligent Resource Optimizer
In this lab, customers will deploy the Intelligent Resource Optimizer on the HPE Private Cloud AI instance in the ATC. Built using the NVIDIA NeMo Agent Toolkit and powered by Open AI OSS NIMs, this solution moves beyond static analysis to proactive infrastructure management. By integrating a specialized Time Series model, the Intelligent Resource Optimizer analyzes historical system utilization to accurately forecast future resource demands. This allows IT Operations teams to receive data-driven recommendations for scaling and optimization, ensuring peak performance and cost-efficiency across the environment.
WWT, NVIDIA Introduce Framework for Secure, Scalable, Responsible AI Adoption
The framework was developed with input from early adopters such as the Texas A&M University System, ARMOR integrates with NVIDIA AI Enterprise technologies to support secure, scalable enterprise AI deployments.
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
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.
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.
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.
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.
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.
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.
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.
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.