NAS

Hardware

Better than Netflix? Jellyfin on a NAS

Jellyfin’s an awesome open source home media server. In this video, Jeff Geerling shows us how he uses it to organize my movies and TV shows.

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Hardware Raspberry Pi

Build A Raspberry Pi NAS For $35 Using All New Parts

In this video, Michael Klements builds a Raspberry Pi based NAS using all new parts for only $35. This is obviously not going to be fast or have a significant amount of storage, but it’ll be great for a first-time NAS build to learn how they work and how to set them up.

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Hardware

How RAID Works

What is RAID and how does it work? Why would you use RAID and what are the benefits in terms of performance and reliability? Dave Explains mirroring, striping, JBOD, RAID levels, and ZFS.

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Hardware

How to Build a NAS Home Lab

Now that the move to the new house is complete and things are almost (kind of) unpacked, it’s time to start planning out the home server lab to geek out. Fortunately this YouTuber shares his home lab journey.

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Hardware

How to Build a NAS

Now that the move is done, it’s time to start building out my dream home network and lab.

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Raspberry Pi

How to Build a Raspberry Pi OMV 6 NAS

Once the move to the new house is complete, I plan on building out a proper NAS to replace my aging COTS device which was, sadly, cut off from support. This video from Explaining Computers has me inspired. OpenMediaVault 6 network attached storage (NAS) software installed and configured on a Raspberry Pi 4, with a […]

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Raspberry Pi

How Small can Raspberry Pi CM4 Boards Be?

From the tiniest carrier board to the best Industrial Pis on the market, the Compute Module 4 is powering a revolution in Raspberry Pi uses. Time stamps: 00:00 – Radxa Taco NAS 00:31 – Storinator Jr 01:15 – Compute Module Availability 02:42 – Uptime Lab’s Tiny MinCab 04:04 – Home Assistant Amber 04:43 – Seeed […]

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AI Research

Introducing Retiarii: A deep learning exploratory-training framework on NNI

Traditional deep learning frameworks such as TensorFlow and PyTorch support training on a single deep neural network (DNN) model, which involves computing the weights iteratively for the DNN model. Designing a DNN model for a task remains an experimental science and is typically a practice of deep learning model exploration. Retrofitting such exploratory-training into the […]

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