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IBM Bets On Open Source To Hyperaccelerate HCI And Hybrid Cloud Adoption

Forrester IT

Today, IBM announced its new IBM Spectrum Fusion product, first as a scale-out hardware product, but with a roadmap for a software defined storage (SDS) solution. This new product is billed as a storage solution, but it is much more. Many […].

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Red Hat Ceph Storage 3 brings file, iSCSI and container storage

Computer Weekly

Latest version of open source OpenStack-targeted software-defined storage adds CephFS, ISCSI and storage that can be deployed in containers to save hardware

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Deep Insights Into The Future of #Hadoop By @Cutting of @Cloudera

CTOvision

For example, with hardware the past has always been that hardware gets cheaper and transistor counts go up so this cheaper hardware gets more powerful. This power and drop in price applies not just to processors but storage. Open source avoids this lock-in and does so economically. Why do we care?

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The Oculus Go’s operating system is being unlocked, John Carmack announces

The Verge

Root access will be achieved by sideloading a future software update, opening the door for anyone to modify and improve Oculus’ original standalone all-in-one VR headset. This open-sourcing tradition continued up until the Doom 3 engine, whose source code was released in 2011.

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Cheap Ways To Connect Data Centers

The Accidental Successful CIO

The challenges that Facebook has been facing when it comes to interconnecting data centers is that when they went looking for hardware that they could use to link their data centers using high bandwidth connections, all they could find were the major equipment vendors. They have created the open-source Voyager box.

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9 most in-demand IT jobs in manufacturing

CIO Business Intelligence

Demand has increased so much that IT job postings in manufacturing doubled between May 2021 and 2022, according to Dice.com, with increased demand for skills such as agile development, Python, software development, automation, C++, SQL, and Java, among others. Software engineer. Principal software engineer.

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How MLOps Is Helping Overcome Machine Learning’s Biggest Challenges

CIO Business Intelligence

These problems are exacerbated by a lack of hardware designed for ML use cases. Gartner reports, “86% of organizations identified at least one of the following areas as a weak link in their AI infrastructure stack: GPU processing, CPU processing, data storage, networking, resource sharing, or integrated development environments.”.

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