A Nextcloud server needs less hardware than most guides claim. Nextcloud’s manual asks for 128 MB of RAM per PHP process, and its guidance for a single server stops at 100 users and 10 TB of storage. What really decides the machine is disk space, backups and bandwidth. This guide sums up what the official […]
PeerTube hosting is not a big-server job. The project says a basic instance runs on 1 vCore and 1.5 GB of RAM, and a big one on 4 vCores and 4 GB. What the software needs most is upload bandwidth and disk space. This guide sums up the official requirements, explains why one 1 Gbit/s […]
An Nginx RTMP server is a standard Nginx web server with a module added. The module accepts live video over RTMP and republishes it as HLS for viewers. In practice, one encoder sends one stream, and the server fans it out to many people. This guide gives a working configuration, locks it down, and sizes […]
A video transcoding server takes one incoming video and turns it into several versions, at different resolutions and bitrates, fast enough to keep pace with your audience. In short, renting one comes down to three decisions: CPU or GPU, how many streams it must hold in real time, and which details the listing leaves out. […]
An AI server is a physical machine that handles the demands of artificial intelligence workloads, training models, running inference, processing the data both require, rather than the general-purpose computing a standard web or application server handles. Cisco’s own market analysis projects the global AI server market to grow from $142.88 billion in 2024 to nearly […]
A self hosted LLM sounds simple in theory: download the model, run it, done. In practice, the infrastructure underneath that decision determines whether it actually works as a production system or collapses the moment real usage arrives. The gap between “I ran a model once” and “this reliably serves my team or my customers” is […]
Buying the right hardware is the easy part of getting a server for machine learning ready. The part that actually consumes time is getting the operating system, the GPU driver, the CUDA toolkit, and the framework version to agree with each other, four layers that each have their own release cadence and their own compatibility […]
Setting up a self hosted mail server is the easy part. Postfix and Dovecot install in minutes. The hard part starts after, when your first email leaves your server and Gmail decides whether it belongs in the inbox or the spam folder. That decision, made silently and automatically, is where most self-hosted email projects actually […]
A single live stream to 100 viewers at standard 1080p quality can already saturate a 1 Gbps connection. This surprises people who think of bandwidth in website terms, where even a busy page serves visitors in fractions of a second and moves on. Streaming does not work that way. Every viewer stays connected for the […]
A GPU dedicated server is, in most cases, the difference between an AI project that runs and one that never gets past the loading screen. A general-purpose processor executes instructions one after another, however fast. A GPU executes thousands of simpler operations at once, and that single design difference is what makes training or running […]
DevOps is a set of practices that combines software development and IT operations to shorten the development lifecycle and deliver software continuously and reliably. The infrastructure underneath those practices determines how well they work, and for many teams, dedicated servers provide the control, performance, and cost predictability that DevOps workflows depend on. The relationship between […]
Online learning platforms have fundamentally changed how education scales. A course that once reached a classroom of thirty now reaches thirty thousand students simultaneously, across continents, devices, and time zones. The infrastructure that makes this possible is not an afterthought. For online learning platforms, server capacity, video delivery, concurrent user handling, and data security are […]