AI & GPU Colocation UK

Stable Diffusion Server Hosting in the UK

NVIDIA RTX 4090 and A100 - generate SDXL images in under 2 seconds from your own UK server

Stable Diffusion running on NVIDIA RTX 4090 server UK

About This Service

Stable Diffusion Server Hosting in the UK

Stable Diffusion Server Hosting in the UK from Glitch Servers provides GPU-accelerated compute for AI inference and model training workloads - backed by AMD Ryzen hardware, NVMe Gen4 storage, and UK-native routing through AS212868. Stable Diffusion XL on an NVIDIA RTX 4090 generates a 1024×1024 image in approximately 1.5 seconds at 20 DPM++ steps - fast enough for interactive applications and batch pipelines. Hosting this on a Glitch Servers GPU dedicated server costs a fixed monthly rate regardless of how many images you generate, unlike cloud API services that bill per generation. Automatic1111 WebUI, ComfyUI, and InvokeAI all install cleanly on our Ubuntu server images. Our RTX 4090 configurations are particularly popular for Stable Diffusion workloads because the 24GB VRAM handles SDXL base and refiner models simultaneously without swapping.

GPU compute at Glitch is built on NVIDIA data centre hardware - A100, H100, and RTX configurations available for AI inference, model training, and rendering workloads. Unlike shared cloud GPU instances where VRAM and compute resources are time-sliced among tenants, dedicated GPU colocation and GPU server rental provide the full card allocation to a single workload, eliminating the throughput variability that degrades training runs on shared infrastructure.

The network operates through AS212868 with LINX and LONAP peering and NTT/GTT Tier-1 transit. High-bandwidth connectivity supports the data ingestion rates that large model training pipelines require, with 1Gbps ports with a 10Gbps burst upgrade available.

UK data residency is maintained throughout - training data, model weights, and inference outputs remain on UK infrastructure, supporting compliance requirements under UK GDPR and sector-specific data governance frameworks. Full GPU server and colocation specifications are on the GPU colocation page.

External resources: NVIDIA Data Centre and the UK AI Safety Institute.

Technical Capabilities

Infrastructure Built for AI Workloads

High-density power, low-latency networking, and carrier-neutral connectivity for demanding GPU clusters.

Power & Cooling

GPU: NVIDIA RTX 4090 24GB GDDR6X (or A100 80GB on request)

Network Connectivity

Generation speed: SDXL 1024px in ~1.5s @ 20 steps

GPU Compatibility

CUDA: 12.x, xFormers, torch.compile all compatible

Security & Compliance

Storage: 1TB NVMe standard - expandable to 4TB

Ideal Customers

Who Uses Our AI/GPU Colocation

We work with a range of organisations running compute-intensive AI workloads on owned hardware.

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Research & Academia

Creative studios running batch image generation pipelines

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Enterprise AI Teams

SaaS products embedding image generation in their applications

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AI Startups

Artists and researchers experimenting with fine-tuned Stable Diffusion models

Infrastructure

Our Data Centre Capabilities

GPU servers are located in our London Telehouse North facility with 1Gbps uplinks per server. NVME storage ensures model checkpoints load into VRAM in seconds rather than minutes.

ComfyUI interface running on GPU server

FAQ

Frequently Asked Questions

SDXL 1024×1024 at 20 steps using DPM++ 2M Karras generates in approximately 1.5–2.0 seconds on an RTX 4090. SD 1.5 at 512×512 generates in under 0.5 seconds.
With 24GB VRAM (RTX 4090), you can load SDXL base and refiner simultaneously, or keep multiple SD 1.5 fine-tunes in memory and switch between them without reload time.
Yes. ComfyUI, Automatic1111 WebUI, InvokeAI, and Fooocus all install via standard Python/pip on our Ubuntu 22.04 images. CUDA 12.x is pre-installed.

Get a Stable Diffusion server from £99/mo

RTX 4090 24GB VRAM. Fixed monthly pricing. Generate without limits.

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