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.
CogVLM2 Self-Hosted Deployment
THUDM's CogVLM2 is a 19B-parameter vision-language model with strong visual grounding and OCR - a less-common but capable choice.
Command R 35B Self-Hosted
Cohere's Command R is a 35B model tuned for RAG and tool use - self-hosting it gives you a capable…
Command R+ 104B Deployment
Cohere's flagship open-weights 104B RAG model needs serious hardware. Here is what it takes to host it on dedicated GPUs.
DeepSeek Coder V2 VRAM Requirements
DeepSeek Coder V2 comes in a 16B MoE variant and a 236B MoE variant. The VRAM story differs dramatically between…
DeepSeek V3 Distilled Models – Self-Hosted Options
The distilled variants of DeepSeek V3 (and R1) fit on single GPUs and carry most of the reasoning quality -…
Mistral Small 3 Self-Hosted Deployment
Mistral's 24B Small 3 refresh lands between the 7B and 70B class with genuinely strong benchmarks and fits a single…
Mixtral 8x22B on a Dedicated GPU
Mistral's Mixtral 8x22B is a 141B total / 39B active MoE that needs serious VRAM - but quantised it fits…
Molmo 7B Self-Hosted Vision-Language Model
Allen AI's Molmo 7B is a compact, trained-from-scratch VLM with particularly strong pointing and counting capabilities.
Nemotron 70B Self-Hosted
Nvidia's Nemotron 70B extends Llama 3.1 70B with RLHF and domain tuning. Hosting is similar to stock Llama 70B but…
Gemma 2 27B on RTX 5090 – Complete Guide
Gemma 2 27B is the sweet spot in Google's open-weights lineup - stronger than the 9B, smaller than 70B class.…
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