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Nvidia releases reference architectures for AI factories

Network World

Nvidia has been talking about AI factories for some time, and now it’s coming out with some reference designs to help build them. The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers.

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Agentic AI design: An architectural case study

CIO Business Intelligence

Now that we have covered AI agents, we can see that agentic AI refers to the concept of AI systems being capable of independent action and goal achievement, while AI agents are the individual components within this system that perform each specific task. Microsoft is describing AI agents as the new applications for an AI-powered world.

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Vertiv and Nvidia define liquid cooling reference architecture

Network World

AI factories are specified data centers emphasizing AI applications as opposed to traditional line of business applications like databases and ERP. The architecture aims to optimize deployment speed, performance, resiliency, cost, energy efficiency and scalability for current- and future-generation data centers.

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HPE and Supermicro debut liquid cooling products

Network World

The architecture we unveiled today uses only liquid cooling, yielding greater energy and cost efficiency advantages than the alternative hybrid cooling solutions on the market,” said Antonio Neri, president and CEO of HPE, in a statement.

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SUSE expands AI tools to control workloads, LLM usage

Network World

Our vision is to be the platform of choice for running AI applications, says Puri. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications. The updated product also has enhanced security features, including LLM guardrails. I have no idea.

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

Later, as an enterprise architect in consumer-packaged goods, I could no longer realistically contemplate a world where IT could execute mass application portfolio migrations from data centers to cloud and SaaS-based applications and survive the cost, risk and time-to-market implications.

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CIOs contend with gen AI growing pains

CIO Business Intelligence

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said. “A

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