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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

One of the most striking examples is the Silk Road , a vast network of trade routes that connected the East and West for centuries. However, as companies expand their operations and adopt multi-cloud architectures, they are faced with an invisible but powerful challenge: Data gravity.

Strategy 164
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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The data is spread out across your different storage systems, and you don’t know what is where. Maximizing GPU use is critical for cost-effective AI operations, and the ability to achieve it requires improved storage throughput for both read and write operations. How did we achieve this level of trust?

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Lumen: Building the trusted network for AI

CIO

Jeff Sieracki, senior director of product management at Louisiana-based Lumen, is quick to point out that the networking requirements of the modern enterprise are changing rapidly. There are always corresponding networking, infrastructure, and management needs to consider. Such flexibility, Sieracki notes, is imperative.

Network 88
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Internxt gets $1M to be ‘the Coinbase of decentralized storage’

TechCrunch

Valencia-based startup Internxt has been quietly working on an ambitious plan to make decentralized cloud storage massively accessible to anyone with an Internet connection. “It’s a distributed architecture, we’ve got servers all over the world,” explains founder and CEO Fran Villalba Segarra.

Storage 194
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

Cloud 147
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Transforming workloads: Harnessing AI within VMware environments

CIO

The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. Theres no downtime, and all networking and dependencies are retained as are other benefits (see this IDC Business Value study). Application layer evolution.

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Microsoft acquires Fungible, a maker of data processing units, to bolster Azure

TechCrunch

Today, Microsoft confirmed the acquisition but not the purchase price, saying that it plans to use Fungible’s tech and team to deliver “multiple DPU solutions, network innovation and hardware systems advancements.” But its DPU architecture was difficult to develop for, reportedly, which might’ve affected its momentum.

Azure 282