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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 […]

How to Run a 70B Model: VRAM Requirements and Setup

August 12, 2026By Oleg Vornicov

To achieve stable throughput and guarantee zero data exposure, hosting this infrastructure on-premises or within a specialized private cloud environment requires robust compute infrastructure. As hardware requirements scale with context window size and concurrent user requests, leveraging dedicated AI Hosting becomes the most practical strategy for deploying enterprise-grade GPUs without the capital overhead of managing […]

How to Host an LLM on a GPU VPS: Step-by-Step Guide (2026)

August 11, 2026By Nikos TheodotouGPU Hosting, VPS Hosting

Large language models keep growing, and teams now want full control over data and cost. That is why many developers choose to host an LLM on a GPU VPS instead of relying on pay-per-token APIs. This guide covers the entire process, from picking hardware to exposing a private endpoint, and shows why a HostingB2B GPU […]

How to Host Ollama on a GPU Server

July 28, 2026By Oleg VornicovGPU Hosting

Self-hosting large language models on dedicated AI Infrastructure has become the go-to approach for businesses that need AI without sending sensitive data to third-party APIs — a priority for iGaming, fintech, SaaS, and other regulated industries. In this step-by-step guide, you’ll learn how to host Ollama on a GPU server: from choosing the right hardware […]