RTX 3050 - Order Now
Home / Blog / Model Guides
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 May 2026

Self-Hosted DeepSeek R1 Deployment: Reasoning Model on Dedicated GPU

DeepSeek R1 is the open-weight reasoning model. Hardware sizing, deployment recipe, and what reasoning models actually buy you.

Model Guides May 2026

Self-Hosted Vision-Language Model Comparison: Qwen-VL, Llama 3.2 Vision, Pixtral

Three leading open-weight VLMs compared on document Q&A, image understanding, and OCR — with hardware sizing for each.

Model Guides May 2026

AnimateDiff Self-Hosted Deployment: Stylised AI Animation on Dedicated GPU

AnimateDiff turns Stable Diffusion into a video model via motion modules. Setup, hardware sizing, and the workflows that work on…

Model Guides May 2026

Llama 3 70B INT4 on the RTX 4090 24 GB: Does It Fit?

Llama 3.3 70B at AWQ-INT4 needs ~40 GB. RTX 4090 has 24 GB. The honest answer about whether INT3 makes…

Model Guides May 2026

Self-Hosted Cohere Aya Expanse Deployment Guide

Aya Expanse is Cohere's open-weight multilingual LLM (100+ languages). Self-hosting recipe, hardware sizing, and the licensing constraint.

Model Guides May 2026

Llama 3 VRAM Requirements: 8B, 70B, 405B Across Every Precision

Exactly how much VRAM each Llama 3 variant needs at FP16, FP8, and AWQ-INT4 — including the multi-GPU configurations needed…

Model Guides May 2026

Whisper Large-v3-Turbo vs Large-v3: When the Smaller Model Wins

OpenAI Whisper Large-v3-Turbo is a 4x faster distilled variant. Quality, speed, language coverage compared with the full Large-v3.

Model Guides May 2026

Self-Hosted TTS Comparison: Bark, XTTS, Kokoro, Piper

Four leading open-weight TTS models compared on quality, speed, voice cloning, and VRAM. Which one for which voice agent.

Model Guides May 2026

Maximum LLM Size That Fits the RTX 5060 Ti 16 GB

How big can an LLM be and still fit on a 16 GB GPU? The precise model-size ceiling per quantisation…

1 2 3 4 5 6 28

Ready to deploy your AI workload?

Dedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.

Browse GPU Servers Contact Sales

Have a question? Need help?