34j

VirtualBoxで共有フォルダを作る方法

共有フォルダをそのまま作るとシンボリックリンクが貼れなかったりするので、以下の方法で作成する。

VirtualBoxマネージャで共有フォルダを作成

Windows側で以下の操作を行う。

Results

Server	Price*	CPU (1 thread)	CPU (4 threads)	IO
Scaleway Start1-XS Atom C3955, 25G NVMe	$4	21 sec P₉₅ = 2.1ms	21 sec P₉₅ = 14ms	🚗 653 IO/s, 10 Mb/sec P₉₅ = 0.40ms
Scaleway VC1-S Atom C2750, 50G SSD	$4	46 sec ⚠️ P₉₅ = 4.6ms	23 sec P₉₅ = 14ms	🚲 289 IO/s, 4.5 Mb/sec P₉₅ = 0.39ms
Hetzner CPX11 AMD EPYC, 40G SSD	$5	20 sec P₉₅ = 3.2ms	9.6 sec P₉₅ = 11ms	✈️ 3656 IO/s, 57 Mb/sec P₉₅ = 0.29ms
Hetzner CX21 Intel Xeon, 40G SSD	$6	24 sec P₉₅ = 2.8ms	12.5 sec P₉₅ = 11ms	🚤 1946 IO/s, 30 Mb/sec P₉₅ = 0.97ms
AWS t2.micro 1G*Intel E5-2676 v3 2.4

Introduction

This is a comparison that I made when I was testing different VPS / VDS providers using nench.sh server benchmark.

Participants:

Elon Musk's Twitter followers

See this article by Matt Binder for some discussion of this data.

Verifying

I'm happy to share the full data set if anyone wants to verify the numbers below. I've also uploaded subsets that make it easy for anyone to spot check.

	S3 Alternatives
	---------------
	- https://wasabi.com
	- https://www.exoscale.com
	- https://www.vultr.com
	- https://www.arubacloud.com/
	- https://www.digitalocean.com
	- https://min.io/
	- http://leo-project.net/
	- https://www.backblaze.com/

	Last Updated: 7 Oct 2025
	-------------------------
	In this package, you will find a brief introduction to the Scripting API for DaVinci Resolve Studio. Apart from this README.txt file, this package contains folders containing the basic import
	modules for scripting access (DaVinciResolve.py) and some representative examples.

	From v16.2.0 onwards, the nodeIndex parameters accepted by SetLUT() and SetCDL() are 1-based instead of 0-based, i.e. 1 <= nodeIndex <= total number of nodes.

	Overview
	--------
	As with Blackmagic Fusion scripts, user scripts written in Lua and Python programming languages are supported. By default, scripts can be invoked from the Console window in the Fusion page,

	import requests
	from tqdm import tqdm


	def download(url: str, fname: str, chunk_size=1024):
	resp = requests.get(url, stream=True)
	total = int(resp.headers.get('content-length', 0))
	with open(fname, 'wb') as file, tqdm(
	desc=fname,
	total=total,