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From edge to cloud: The critical role of hardware in AI applications

CIO

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. The apps and tools have to gather, process and deliver back data to the consumer with minimal latency. Hardware innovations become imperative to sustain this revolution.

Hardware 207
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EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

TechCrunch

EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.

Hardware 216
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Microsoft acquires Fungible, a maker of data processing units, to bolster Azure

TechCrunch

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. But its DPU architecture was difficult to develop for, reportedly, which might’ve affected its momentum.

Azure 282
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How customers capture real economic value with zero trust

CIO

Hub-and-spoke networks and castle-and-moat security architectures were designed for days gone by when users, apps, and data all resided on premises. The Zscaler Zero Trust Exchange provides a different kind of architecture (zero trust) that not only enhances security but reduces costs while doing so.

Hardware 233
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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

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Cloud Data Security: Encryption at Rest Best Practices

Xebia

Encryption at rest is defined as the practice of encrypting data stored in any type of volume when not in transit. Cloud resources run in data centers, the same way on-premises resources do, but with a layer of sophistication to achieve abstraction and ease of usage for the customer. Isolation failure.

Cloud 130