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.
Mistral's Pixtral 12B is a capable vision-language model with native variable image resolution - a practical generalist VLM for dedicated hosting.
Qwen 2.5 14B is the sweet spot for a 16GB Blackwell card - strong reasoning, fits at INT8, and hits…
Qwen Coder 32B is the strongest open-weights coding model in 2026. Here is how to host it on a dedicated…
Qwen VL 2 comes in 2B, 7B, and 72B variants - from tiny edge models to heavy VLMs. Here is…
Upstage's Solar 10.7B uses depth up-scaling to get 13B-class performance in a smaller footprint - fits a 16GB card at…
BigCode's StarCoder 2 15B is a permissively-licensed coding model that fits a 16GB card and handles 600+ languages.
01.ai's Yi 34B delivers strong bilingual performance and long context. On a 96GB card it runs at FP16 with serious…
Guide to choosing the best quantisation format for DeepSeek V3 and R1 across different GPU configurations, comparing FP8, INT4, GPTQ,…
Performance comparison of Qwen 2.5 7B and 72B across GPTQ, AWQ, GGUF, and FP16 on multiple GPUs, with quality benchmarks…
How to fit Mixtral 8x7B on consumer GPUs using GPTQ, AWQ, and GGUF quantisation, with speed benchmarks, VRAM tables, and…
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Browse GPU ServersDeploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingDeploy YOLO, PaddleOCR, Stable Diffusion, and other vision models on GPU-accelerated servers.
Explore Vision HostingDeploy Whisper, Coqui, Bark, and other speech models with low-latency inference.
Explore Speech HostingVision-language models, audio-language models — deploy multimodal AI on dedicated GPUs.
Explore MultimodalReal-world tokens per second data across every GPU we offer, tested on popular LLMs.
View BenchmarksDedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.