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Data center spending to top $1 trillion by 2029 as AI transforms infrastructure

Network World

Massive global demand for AI technology is causing data centers to increase spending on servers, power, and cooling infrastructure. As a result, data center CapEx spending will hit $1.1 AI servers can be $100,000 to $200,000, especially when equipped with the latest Nvidia CPUs, Fung tells Network World.

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Ethernet roadmap: AI drives high-speed, efficient Ethernet networks

Network World

There are lots of different ideas and development we are just trying to get them all going the same direction, Peter Jones, president of the Ethernet Alliance, told Network World. All are interested in enabling networking technology to better support AI. The IEEE in January began an 802.3

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Microsoft to launch zero water consumption cooling for future data centers

Network World

Microsoft has introduced a new design for data centers to optimize artificial intelligence (AI) workloads, implementing a cooling system that it claims will consume zero water. Traditionally in Microsoft data centers, water has been evaporated on-site to reduce the power demand of the cooling systems.

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Arista financials offer glimpse of AI network development

Network World

Arista Networks is expecting a potential revenue spike of $1.5 billion from AI-based networking growth through 2025. Arista has between 10 and 15 classic enterprise accounts that are trialing AI networks, but they have a very low number of GPUs involved in the pilots, Ullal said. 30, an increase of 7.1%

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AI driving a 165% rise in data center power demand by 2030

Network World

On the demand side for data centers, large hyperscale cloud providers and other corporations are building increasingly bigger large language models (LLMs) that must be trained on massive compute clusters. Still, several questions remain about DeepSeeks training, infrastructure, and ability to scale, Schneider stated.

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What is AI networking? How it automates your infrastructure (but faces challenges)

Network World

Today’s networks face a multitude of challenges as they become more complex and distributed. But AI holds the potential to improve IT networks. But AI holds the potential to improve IT networks. So what exactly is AI networking, how does it work and what are its top use cases?

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Google bets on nuclear power to drive AI expansion

Network World

In March, Amazon acquired a nuclear-powered data center from Talen Energy. Meanwhile, Oklo, a nuclear fission startup backed by OpenAI’s Sam Altman, is progressing toward its first SMR, aiming for completion by 2027. Most recently Microsoft wound down an attempt to create underwater data centers.

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