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@NoteAfterNote
NoteAfterNote / note-after-note-2024-may-19-termux-usbredirect-qemu.md
Last active January 24, 2025 15:56
Reading and writing a USB drive connected to a Linux server using Termux, termux-usb, usbredirect, and QEMU on a smartphone that is not rooted
@thaynes43
thaynes43 / ms-01-proxmox-cluster.md
Last active April 5, 2025 14:52
Proxmox MS-01 Cluster w/ Ceph Ring Network

Shopping List

I was looking for mini PCs with SFP+ and found a lot of fairly expensive small servers that were tempting. Then I got lucky and saw a new product coming out from minisforum, the MS-01, which had everything I needed at a much lower pricepoint.

image

image

I went with the 20 core intel i9-13900H but I think any of the three would have been fine for my needs.

@Moondarker
Moondarker / README.md
Last active March 10, 2025 03:58
Fixing device UUIDs in BCD under Linux

Fixing device UUIDs in BCD under Linux

Please note, it's easier to just use a recovery flash drive/dvd disk!

I just wanted a new challenge, and I found it:

Info on target system

My friend has switched from Windows to Fedora. Somehow in the process, Windows Bootloader went missing from EFI partition (I would love to know how did that happen as much as you do or don't, but I wasn't supervising at the moment, so... no idea)

@scyto
scyto / ospf6d-mesh-net.md
Last active November 26, 2024 13:25
Enable IPv6 based OSPF on Thunderbolt Mesh Network

Enable IPv6 OSPF Routing on Thunderbolt-Net Mesh

This requires proxmox kernel 6.2.16-14-pve or higher due to bugs in earlier version.s

This will result in a routable mesh network that can survive any one node failure or any one cable failure. Alls the steps in this section must be performed on each node

IPv6 OSPF connectivity over TB cluster network

Enable IPv6 forwarding

Using IPv6 to take advantage of not needing to use addresses - does make things simpler

@scyto
scyto / proxmox.md
Last active April 18, 2025 05:37
my proxmox cluster

dont buy ASUS motherboard for this topology - many of their motherboard do not implement full SW Connection Manager required for full spec USB4 / TB4 required for this topology and they are unable to articulate which motherboard do and do not have the required features and keep saying 20Gbp/s is the max speed of connection on intel NUCS - this is wrong. 13th and 14th Gen NUCs that implement a SW connection manager for USB4 / TB4 will work fine..

ProxMox Cluster - Soup-to-Nutz

aka what i did to get from nothing to done.

note: these are designed to be primarily a re-install guide for myself (writing things down helps me memorize the knowledge), as such don't take any of this on blind faith - some areas are well tested and the docs are very robust, some items, less so). YMMV

Purpose of Proxmox cluster project

Required Outomces of cluster project

vSphere 6 Enterprise Plus:
1C20K-4Z214-H84U1-T92EP-92838
1A2JU-DEH12-48460-CT956-AC84D
MC28R-4L006-484D1-VV8NK-C7R58
5C6TK-4C39J-48E00-PH0XH-828Q4
4A4X0-69HE3-M8548-6L1QK-1Y240
vSphere with Operations Management 6 Enterprise:
4Y2NU-4Z301-085C8-M18EP-2K8M8
1Y48R-0EJEK-084R0-GK9XM-23R52
@devinschumacher
devinschumacher / cloud-gpus.md
Last active April 13, 2025 18:53
Cloud GPUs // The Best Servers, Services & Providers [RANKED!]

Cloud GPUs: Servers, Providers & Everything You Would Ever Need

Your company's GPU computing strategy is essential whether you engage in 3D visualization, machine learning, AI, or any other form of intensive computing.

There was a time when businesses had to wait for long periods of time while deep learning models were being trained and processed. Because it was time-consuming, costly, and created space and organization problems, it reduced their output.

This problem has been resolved in the most recent GPU designs. Because of their high parallel processing efficiency, they are well-suited for handling large calculations and speeding up the training of your AI models.

When it comes to deep learning, good Cloud GPUs can speed up the training of neural networks by a factor of 250 compared to CPUs, and the latest generation of cloud GPUs is reshaping data science and other emerging technologies by delivering even greater performance

@nolanlawson
nolanlawson / scaling_mastodon_down.md
Last active November 17, 2024 16:12
Scaling Mastodon down

Scaling Mastodon down

There is already a guide on scaling your Mastodon server up. This is a short guide on scaling your Mastodon server down.

I.e., maybe you want to run a small instance of <100 active users, and you want to keep your cloud costs reasonable. So you might be running everything on a single machine, with limited memory and CPU. (In my case, I was using a t3.medium instance with 2 vCPUs and 4GB of RAM.) How do you do this?

Note that I'm not a Ruby or Sidekiq expert, and most of this stuff I figured out through trial and error.

@ayebrian
ayebrian / vmware.md
Last active April 17, 2025 12:41
CONTENT REMOVED

Content removed in accordance with GitHub's Terms of Service.

Thank you for your understanding.

@yorickdowne
yorickdowne / HallOfBlame.md
Last active April 10, 2025 02:54
Great and less great SSDs for Ethereum nodes

Overview

Syncing an Ethereum node is largely reliant on latency and IOPS, I/O Per Second, of the storage. Budget SSDs will struggle to an extent, and some won't be able to sync at all. IOPS can roughly be used as proxy of / predictor for latency. Measuring latency directly is arguably better.

This document aims to snapshot some known good and known bad models.

The drive lists are ordered by interface and then by capacity and alphabetically by vendor name, not by preference. The lists are not exhaustive at all. @mwpastore linked a filterable spreadsheet in comments that has a far greater variety of drives and their characteristics. Filter it by DRAM yes, NAND Type TLC, Form Factor M.2, and desired capacity.

For size, 4TB is a very conservative choice. The smaller 2TB drive should last an Ethereum full node until at least sometime 2026, with the [pre-merge history expiry](https://hackmd.io/@hBXHLw_9Qq2va4pRt