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Model Guides

Model Guides

Step-by-step setup guides for specific AI models on dedicated GPU servers. From LLM deployment to vision model hosting and speech model hosting, each guide includes configuration, optimisation tips, and GPU recommendations.

Model Guides Apr 2026

YOLOv8 VRAM Requirements (All Model Sizes)

Complete YOLOv8 VRAM requirements for Nano to XLarge across detection, segmentation, and pose tasks. FP32, FP16, INT8 tables plus GPU…

Model Guides Apr 2026

How to Deploy LLaMA 3 on a Dedicated GPU Server

Learn how to deploy Meta's LLaMA 3 on a dedicated GPU server using vLLM and Ollama, with step-by-step CLI commands…

Model Guides Apr 2026

How to Deploy Mistral on a Dedicated GPU Server

Deploy Mistral 7B, Mixtral 8x7B, and Mistral Large on a dedicated GPU server with vLLM or Ollama. Includes VRAM tables,…

Model Guides Apr 2026

How to Deploy Qwen on a Dedicated GPU Server

Step-by-step guide to deploying Alibaba's Qwen models on a dedicated GPU server using vLLM and Ollama, covering VRAM requirements, CLI…

Model Guides Apr 2026

How to Set Up ComfyUI on a Dedicated GPU Server

Install and configure ComfyUI on a dedicated GPU server for AI image generation. Covers VRAM requirements, model downloads, custom nodes,…

Model Guides Apr 2026

How to Run Flux.1 on a Dedicated GPU Server

Deploy Black Forest Labs' Flux.1 image generation model on a dedicated GPU server. Covers VRAM requirements, ComfyUI and diffusers setup,…

Model Guides Apr 2026

How to Deploy Coqui TTS on a Dedicated GPU Server

Deploy Coqui TTS and XTTS on a dedicated GPU server for real-time voice synthesis. Covers VRAM requirements, installation, API setup,…

Model Guides Apr 2026

How to Deploy Gemma on a Dedicated GPU Server

Deploy Google's Gemma open models on a dedicated GPU server using vLLM and Ollama. Includes VRAM tables, step-by-step CLI commands,…

Model Guides Apr 2026

How to Deploy a Code Model (StarCoder / CodeLlama) on a GPU Server

Deploy StarCoder, CodeLlama, and other code-generation models on a dedicated GPU server. Covers VRAM requirements, vLLM/Ollama setup, and IDE integration…

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