Hands-on deployment guides for AI frameworks, tools, and pipelines on dedicated GPU servers. Set up PyTorch, TensorFlow, vLLM, and more from scratch — full root access on bare metal.
Secure your self-hosted AI inference API with API key authentication, JWT tokens, rate limiting, and IP whitelisting. Production-ready configurations for Nginx and Python middleware.
Learn how to run multiple AI models simultaneously on a single GPU server using VRAM management, model scheduling, and inference…
A complete tutorial for building a production-ready AI inference server on dedicated GPU hardware. Covers framework selection, deployment, API design,…
A complete tutorial for installing and configuring Ollama on a dedicated GPU server. Covers installation, model management, API configuration, multi-model…
Step-by-step guide to installing PyTorch with GPU support on a dedicated server — covering NVIDIA drivers, CUDA toolkit, cuDNN, conda…
Production-ready vLLM setup guide — install, configure as a systemd service, tune memory and batching, add monitoring, and set up…
From the blog to your next deployment — pick the right platform for your workload.
Bare-metal servers with a dedicated GPU, NVMe, full root access, and 1Gbps networking from our UK datacenter.
Browse GPU ServersGPU-accelerated PyTorch on dedicated servers — CUDA, cuDNN, and NVMe pre-configured.
Deploy PyTorchHigh-throughput LLM serving with vLLM — deploy on dedicated GPU hardware.
Deploy vLLMRun open source LLMs with Ollama — the simplest path to self-hosted AI.
Deploy OllamaDeploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingReal-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.