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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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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? The rise of AI means that the network is the computer, and connectivity is its lifeline.

Hardware 245
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How to Develop IoT Applications: A Complete Guide for 2022

The Crazy Programmer

How do you develop IoT applications ? Let’s look at the common framework to consider when you develop applications for the Internet of Things. Software: The software is the first phase of an IoT building process (please note that the building process is the process where developers create the codes for the backend operation).

IoT 253
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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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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. ” A DPU is a dedicated piece of hardware designed to handle certain data processing tasks, including security and network routing for data traffic. .”

Azure 282
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Why Purpose-Built Infrastructure is the Best Option for Scaling AI Model Development

CIO

Developers find that a training job now takes many hours or even days, and in the case of some language models, it could take many weeks. With AI development, companies need fast ROI, by ensuring data scientists are working on the right things. You’re paying a lot of money for data-science talent,” Paikeday says.

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MetalSoft aims to help manage server infrastructure through automation

TechCrunch

It’s tough in the current economic climate to hire and retain engineers focused on system admin, DevOps and network architecture. MetalSoft allows companies to automate the orchestration of hardware, including switches, servers and storage, making them available to users that can be consumed on-demand.