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 building a full-stack AI application with Next.js and a self-hosted LLM covering API routes, streaming, Server Components, chat UI, and deployment on GPU servers.
Complete guide to building a React chat UI for a self-hosted LLM covering streaming responses, message history, markdown rendering, and…
Complete guide to building real-time AI applications with Python WebSockets covering bidirectional streaming, connection management, token-by-token delivery, and integration with…
Complete guide to building a gRPC AI inference service on GPU servers covering protobuf definitions, server-side streaming, bidirectional communication, load…
Complete guide to building async AI inference processing with Redis queues covering job submission, GPU worker design, priority queues, result…
Complete guide to running distributed AI tasks with Celery on GPU servers covering task routing, GPU worker configuration, result backends,…
Complete guide to configuring Kubernetes GPU pods for AI inference covering NVIDIA device plugin, resource requests, node affinity, autoscaling, and…
Complete guide to monitoring GPU servers with Prometheus and Grafana covering DCGM exporter, custom inference metrics, alerting, dashboard design, and…
Complete guide to setting up the ELK stack for AI inference logging covering Elasticsearch indexing, Logstash pipelines, Kibana dashboards, structured…
Complete guide to building webhook integrations for AI inference results covering async delivery, retry logic, signature verification, payload design, and…
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.