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Guide to Facebook’s Open Source Data Center Hardware

Data Center Knowledge

Mark Zuckerberg’s social networking giant is the world’s biggest open source hardware design factory Read More.

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OCP Launches Marketplace for Open Source Data Center Hardware

Data Center Knowledge

Online catalogue lists servers, storage, network gear and vendors ready to deliver Read More.

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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

With the potential to incur high compute, storage, and data transfer fees running LLMs in a public cloud, the corporate datacenter has emerged as a sound option for controlling costs. Because LLMs consume significant computational resources as model parameters expand, consideration of where to allocate GenAI workloads is paramount.

Dell 135
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Technology Short Take 176

Scott Lowe

Networking Lee Briggs (formerly of Pulumi, now with Tailscale) shows how to use the Tailscale Operator to create “free” Kubernetes load balancers (“free” as in no additional charge above and beyond what it would normally cost to operate a Kubernetes cluster). Storage Gergely Imreh discusses ZFS on a Raspberry Pi.

Linux 112
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Cheap Ways To Connect Data Centers

The Accidental Successful CIO

The social networking giant Facebook has a data center problem that probably looks very much like the challenges that you are currently facing. Facebook’s goal in developing Voyager is to get hardware companies to build and sell the device while at the same time getting software companies to write software that can be used to manage it.

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Heck yeah! Facebook's Open Compute Project is making an open source switch

Virtualized Greek

Reblogged from GigaOM: The Open Compute Project, which Facebook launched a little more than two years ago, has decided that utterly disrupting the server and storage market isn''t enough. On Wednesday, it said it would solicit input on an open source top-of-rack switch. Network SDN'

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Scientists share a wiring diagram tracing connections for 200,000 mouse brain cells

GeekWire

The data collection, which is now publicly available online , was developed as part of the Machine Intelligence From Cortical Networks program, or MICrONS for short. “The final step is to interpret this network, at which point we may be able to say we can read the brain’s program.”

Research 137