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Hardware and Chips
Hardware and Chips are fundamental to the development and deployment of AI technologies. They provide the computational power, efficiency, and scalability needed to train and run complex AI models. Advances in hardware drive innovation, enable new applications, and make AI technologies more accessible and effective.

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Features

Governing AI for Security, Compliance, and Trust: Who Gets to Grant AI Access?

Organizations are moving AI from isolated tasks into everyday operations. A tool that started out drafting emails or summarizing documents may soon be asked to search internal files, retrieve customer information, prepare transactions, route requests, or update records.

Enhancing AI Reasoning With Knowledge Graphs and GraphRAG

There is a disconnect happening with AI that cannot be ignored. A model can retrieve information, summarize it, or generate an answer, but it cannot determine whether the answer reflects how the business works or if it's truly correct. The limitation is not model intelligence but missing context. Using connected data, semantic relationships, and graph-based retrieval improves AI reasoning, contextual understanding, and decision making.

Nuances of Build-or-Buy Decisions

The intricacies of the time-honored question of whether to build or buy take on new dimensions when it comes to enterprise AI. Organizations must not only account for traditional considerations like cost, time-to-market, and proof of concepts but also for those that are unique to advanced machine learning and language model deployments.

Vibe Coding: When Intent Becomes the Interface

For the last 40 years, the history of enterprise software has been a history of translation. Business leaders had intent; engineers had the syntax. The gap between them was bridged by requirement documents, product managers, Jira tickets, and the inevitable friction of misinterpretation.

Enterprise AI Case Studies

Zayo and NVIDIA Partner to Scale Critical Network Capacity for AI Factories

Zayo, a leading digital infrastructure provider, announced it is delivering critical network capacity to power today's AI ecosystem and accelerate the next generation of AI innovation with NVIDIA AI infrastructure.

Flex and Cerebras Deepen Partnership to Scale the Manufacturing of Cerebras AI Supercomputers

Flex and Cerebras Systems Inc. are expanding their manufacturing partnership to scale production of the Cerebras CS-3, one of the world's most advanced AI accelerator systems, at Flex manufacturing facilities in Milpitas, California.

Nile Eliminates Network Complexity, Strengthens Security, and Frees IT Resources for Glean

Nile, a pioneer in secure and autonomous networking-as-a-service (NaaS), announced that Glean—the Enterprise AI platform helping organizations find, create, and automate knowledge across the enterprise—is using Nile's Network-as-a-Service (NaaS) platform to support its rapid growth, AI-driven operations, and commitment to delivering exceptional employee experiences.

Enterprise AI Whitepapers

On Demand Webinar: MIT Scaling Agentic AI Pilots

Agentic CX AI Frontline Report

Gartner® Report: How Leaders Avoid the Top 10 Operational Issues When Scaling AI

Forrester Report: AI Agents Reshape The Customer Service Workforce In Dramatic Ways