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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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Transform the modern data center: From today to the future

CIO

A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors. Whether integrating cutting-edge AI capabilities trained on proprietary data or leveraging pre-built functionalities, the ability to optimize and automate workflows becomes effortless with a platform-centric approach.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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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. ” The Fungible team will join Microsoft’s data center infrastructure engineering teams, Bablani said. .

Azure 282
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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

1] In each case, the company has volumes of streaming data and needs a way to quickly analyze it for outcomes such as greater asset availability, improved site safety and enhanced sustainability. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 317
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Inferencing holds the clues to AI puzzles

CIO

Inferencing crunches millions or even billions of data points, requiring a lot of computational horsepower. 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 and… Sherlock Holmes???

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What Should You Know About Graph Database’s Scalability?

Dzone - DevOps

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.