AI Hosting & Infrastructure
Build production AI infrastructure on dedicated GPU servers. These guides cover networking, storage architecture, scaling strategies, and deployment patterns for running AI workloads on bare metal. From private AI hosting to multi-GPU clusters, learn how to architect GPU infrastructure that scales.
A practical guide to open-source AI model licenses in 2026. Covers MIT, Apache 2.0, Meta Community License, FLUX licenses, and commercial use restrictions for self-hosted deployments.
A practical summary of UK AI regulation as of April 2026. Covers the AI Safety Institute, UK GDPR requirements for…
A comprehensive buyer's guide to GPU server hosting in 2026. Covers provider selection, hardware options, pricing models, SLAs, and what…
A strategic guide to planning AI infrastructure in 2026. Covers capacity planning, GPU selection, scaling strategies, and budgeting for self-hosted…
Complete checklist for setting up an Ubuntu GPU server for AI workloads. Covers OS configuration, NVIDIA drivers, CUDA, Docker GPU…
Configure swap space correctly for AI inference workloads. Covers sizing for model loading, swappiness tuning, SSD-backed swap, zram, and preventing…
Configure NVMe RAID arrays for AI model storage and fast checkpoint loading. Covers RAID 0 vs RAID 1 vs RAID…
Tune Linux kernel parameters for GPU workloads. Covers IOMMU, huge pages, memory overcommit, scheduler settings, PCIe parameters, and sysctl tuning…
Create systemd service files for AI inference servers. Covers auto-start, GPU isolation, resource limits, health checks, restart policies, and production…
Set up cron jobs for automated AI model updates, checkpoint backups, and maintenance tasks. Covers scheduling, locking, logging, error handling,…
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 ServersIsolated GPU infrastructure for sensitive AI workloads — no shared hardware, full data control.
Explore Private AIScale horizontally with multi-GPU configurations for training and large-model inference.
Explore ClustersHost your own AI API endpoints on dedicated GPU servers — low latency, high availability.
Explore API HostingDeploy 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.