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.
Running Ollama on RTX 5070: Fast Local LLMs on 12 GB GDDR7 Blackwell
Ollama runs natively on the RTX 5070's CUDA stack. 12 GB GDDR7 at 672 GB/s delivers fast token generation for 7B–13B models. Setup, best models, and throughput guide.
RTX 5070 for Flux.1: Running Flux Schnell and Dev on 12 GB GDDR7
Flux.1 Dev FP16 needs 24 GB — but with Q4 GGUF transformer and FP8 T5, Flux runs on the RTX…
RTX 5070 for Stable Diffusion: SDXL, Flux.1, and ComfyUI on 12 GB GDDR7
The RTX 5070 runs SDXL comfortably at 12 GB GDDR7 with full CUDA support. Flux.1 needs GGUF quantisation. Here's what…
RTX 5070 for ComfyUI: Full CUDA Image Generation at £139/mo
The RTX 5070 runs ComfyUI with full CUDA support — all nodes, xformers, FlashAttention. SDXL is fast and comfortable at…
LLM Inference on Intel Arc Pro B60: IPEX-LLM and LlamaCPP SYCL Setup Guide
Run Llama 3.1, Mistral, Gemma 2, and Qwen 2.5 on Intel Arc Pro B60 with 24 GB ECC GDDR6. Covers…
Running Ollama on Intel Arc Pro B60: Local LLMs on 24 GB ECC at £129/mo
Ollama runs on Intel Arc Pro B60 via its llama.cpp SYCL backend. Get Llama 3.1 8B, Mistral 7B, and Qwen…
Intel Arc Pro B60 for Stable Diffusion: SDXL, Flux.1, and ControlNet on 24 GB ECC
The Intel Arc Pro B60 gives you 24 GB ECC GDDR6 for Stable Diffusion at £129/mo — enough for Flux.1…
Intel Arc Pro B60 for ComfyUI: 24 GB OpenVINO Image Generation at £129/mo
The Intel Arc Pro B60 runs ComfyUI via OpenVINO and IPEX — fitting Flux.1 Dev at full FP16 and SDXL…
Best GPU for Stable Diffusion in 2026 (SD 1.5, SDXL, FLUX)
Table of Contents Top picks at a glance Model VRAM requirements GPU-by-GPU recommendations SDXL throughput estimates Decision tree Conclusion Stable…
Llama 3 70B INT4 VRAM Requirements: The Precise Math
Llama 3 70B at AWQ-INT4 — exactly how much VRAM, with KV cache by context length, and which GPU configurations…
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Deploy YOLO, PaddleOCR, Stable Diffusion, and other vision models on GPU-accelerated servers.
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Deploy Whisper, Coqui, Bark, and other speech models with low-latency inference.
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Vision-language models, audio-language models — deploy multimodal AI on dedicated GPUs.
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Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
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