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Seven important trends in the server sphere

Network World

Considerable amounts of data are collected on the edge. Edge servers do the job of culling the useless data and sending only the necessary data back to data centers for processing. Liquid cooling gains ground: Liquid cooling is inching its way in from the fringes into the mainstream of data center infrastructure.

Trends 365
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9 steps to take to prepare for a quantum future

Network World

In the automotive sector, for example, BMW, Volkwagen, and Toyota are taking the lead. Investors are buying up data centers to create a Pony Express quantum signal to go coast-to-coast, he says. In finance, JPMorgan, HSBC and Goldman Sachs are the furthest along in quantum proofs of concept.

Research 505
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De-Risk Your Business by Moving to Colocation Data Centers – A Modern Cloud Experience

CIO Business Intelligence

For good business reasons, more than up to 50% of applications and data remain on-premises in data centers, colocations, and edge locations, according to 451 Research. This is due to issues like data gravity, latency, application dependency, and regulatory compliance. Adopting the right partnership.

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Dell shares its vision of the AI factory powered by NVIDIA

CIO Business Intelligence

Factories have been the bedrock of many industries from manufacturing to automotive. Build an AI-optimized infrastructure : As the first layer of the Dell AI Factory, businesses need a flexible infrastructure that lets their AI workloads be run anywhere from desktop to data center while accommodating AI’s ever-changing demands.

Dell 279
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Nvidia enhances OpenUSD to drive wider industry adoption

Network World

NIMs, or Nvidia inference microservices, are a set of tools that makes it easier for businesses to use AI models in their applications, across clouds, data centers, and workstations. For instance, the automotive sector could see a significant boost in efficiency, with potential maintenance effort savings of up to 10% annually.”

Industry 397
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Accenture acquires Excelmax to bolster chip design expertise

CIO Business Intelligence

The firm offers custom silicon solutions for consumer devices, data centers, artificial intelligence (AI), and edge computing applications, with clients in the automotive, telecommunications, and high-tech sectors.

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AI as a catalyst for ESG: Empowering CIOs to drive sustainable innovation

CIO Business Intelligence

This could involve adopting cloud computing, optimizing data center energy use, or implementing AI-powered energy management tools. Google’s DeepMind AI, for example, reduced the energy used to cool its data centers by 40%, highlighting the potential for AI to reduce energy consumption at scale.

Energy 311