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How to Install CUDA on Ubuntu for Dedicated GPU Infrastructure

August 27, 2026By Oleg VornicovAI Hosting

Setting up a GPU stack correctly is the first hurdle for any AI or machine learning project. Whether you are fine-tuning models on LLM Hosting infrastructure or configuring your own workstation, a broken driver or mismatched CUDA version will stop your workloads before they start. This guide walks through the full process — from a […]

How to Monitor GPU Usage on a Linux Server

August 25, 2026By Nikos TheodotouDedicated Servers, GPU Hosting

Running AI, rendering, or GPU-accelerated workloads on a dedicated server only pays off when the hardware is actually being used. Consequently, learning how to check GPU usage in Linux is a core skill for any server administrator. This guide covers the commands and tools needed to see utilisation, memory, temperature, and power, then scale that […]

How to Set Up Multi-GPU Training with PyTorch

August 24, 2026By Oleg VornicovAI Hosting

Training modern deep learning models on a single GPU quickly hits a wall: batch sizes shrink, epochs stretch into days, and experimentation slows to a crawl. Setting up PyTorch multi GPU training correctly can cut training time almost linearly with the number of GPUs – but only if you use the right parallelisation strategy, the […]

How to Fine-Tune an LLM with LoRA: Step-by-Step Guide

August 13, 2026By Oleg VornicovAI Hosting

Fine-tuning turns a general-purpose model like Llama 3 into a specialist that understands your domain, your tone, and your data. The problem: full fine-tuning of even a 7B model can demand 100+ GB of VRAM. LoRA (Low-Rank Adaptation) changes the economics entirely — you train small adapter matrices instead of all model weights, cutting memory […]