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

CIO

The world has woken up to the power of generative AI and a whole ecosystem of applications and tools are quickly coming to life. 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.

Hardware 245
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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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The impact of AI on edge computing

CIO

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 In applications where real-time responsiveness is critical, minimizing latency is paramount. over the 2023-2027 forecast period 1.

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How to Develop IoT Applications: A Complete Guide for 2022

The Crazy Programmer

People create IoT applications; people use IoT applications—the world’s technology grows from the internet to the Internet of Things, from middlemen transaction processes to Smart Contracts. How do you develop IoT applications ? The software is crucial because it links to the hardware through the cloud and the network.

IoT 253
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Inferencing holds the clues to AI puzzles

CIO

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful.

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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. When you think about all the blocking and tackling a CIO needs to do for regular applications, that especially applies to AI.”

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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO

By: Scott Sellers , Co-Founder and CEO, Azul From the get-go, the cloud promised to help companies scale up their architectures in seconds, run their applications faster, never turn away a transaction, and save money through economies of scale. Here are four steps to getting the most out of cloud computing resources in an economical manner.

Cloud 305