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.
Complete guide to configuring Kong and Traefik as API gateways for self-hosted AI inference covering rate limiting, authentication, load balancing, and routing multiple models behind a single endpoint.
Step-by-step guide to building CI/CD pipelines for AI model deployment covering automated testing, model validation, Docker image builds, rolling updates,…
Practical guide to implementing model versioning for AI inference on GPU servers covering storage strategies, metadata tracking, version switching, A/B…
Complete guide to implementing blue-green deployment for AI models on GPU servers covering zero-downtime switching, traffic routing, health validation, automated…
Build a retrieval-augmented generation pipeline combining ChromaDB for vector storage, LangChain for orchestration, and a self-hosted LLM for grounded answers…
Build a voice-to-voice AI agent combining Whisper for speech recognition, an LLM for reasoning, and Coqui TTS for speech synthesis…
Build a pipeline that extracts text from scanned documents with PaddleOCR and generates structured summaries with a self-hosted LLM on…
Build a production image generation API serving Stable Diffusion XL through FastAPI with queuing, caching, and GPU memory management on…
Build a production streaming chatbot combining LLaMA with RAG retrieval, server-sent events, conversation memory, and a web frontend on dedicated…
Build an automated code review pipeline that analyses Git diffs with DeepSeek Coder, flags bugs, suggests improvements, and posts comments…
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.