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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. Hardware innovations become imperative to sustain this revolution. So what does it take on the hardware side? For us, the AI hardware needs are in the continuum of what we do every day.

Hardware 245
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Accelerating generative AI requires the right storage

CIO

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

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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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Different Types of Embedded Systems

The Crazy Programmer

Embedded systems are the collection of the hardware and software where the software has been embedded into the hardware components. Therefore many people are showing their interest in using embedded systems for their professional use. What is an Embedded System? Different Types of Embedded Systems.

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Project Bluefin and the future of operating systems

InfoWorld

Even with all of the advances in IT, whether it’s modular hardware, massive cloud computing resources, or small-form-factor edge devices, IT still has a scale problem. Not physically—it’s easy to add more boxes, more storage, and more “stuff” in that respect. To read this article in full, please click here

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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. But the usual laundry list of priorities for IT hasn’t gone away. But in other areas, IT teams will look to increase budgets and spending.

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Inferencing holds the clues to AI puzzles

CIO

Yet the calculus may not be so simple when one considers the costs to operate there as well as the fact that GenAI systems sometimes produce outputs that even data engineers, data scientists, and other data-obsessed individuals struggle to understand. Inferencing and… Sherlock Holmes???