AI Hosting & Infrastructure
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.
Enterprise AI Architecture Checklist for Self-Hosted Deployments
A pragmatic checklist for enterprise AI deployments — security, compliance, observability, cost control, and the operational pieces auditors will ask about.
Self-Hosted AI Infrastructure Patterns That Worked in 2026
A retrospective look at the patterns that actually shipped and survived in self-hosted AI infrastructure across our customer base in…
Open-Weight Model Release Cycle in 2026: What to Expect
How fast do open-weight LLMs get released and deprecated? Planning your deployment around the release cadence.
Private Cloud AI vs Public API: Architecture Decision Framework
When does a private AI cloud (dedicated GPUs in your VPC) beat hosted API access? The decision framework with real…
Open-Source LLM Hosting Architecture Overview: 2026 State of the Art
An architectural overview of self-hosted open-source LLM serving in 2026 — engines, hardware, software layers, observability, and the patterns that…
AI Server Power and Cooling: What Actually Matters for 24/7 GPU Workloads
GPU servers under sustained AI load draw 400-600+ watts continuously. Power and cooling are unglamorous but they decide whether your…
Open-Source LLM Licensing in 2026: A Practical Comparison
Apache 2.0, Llama Community License, Cohere CC-BY-NC, Qwen License — what each one allows, what it blocks, and which models…
GPU Server Lifecycle Management: Provisioning, Operating, Decommissioning
The full lifecycle of a dedicated GPU server — from initial provisioning through 1-3 years of operation to decommissioning. What…
GDPR-Compliant AI Hosting on Dedicated GPUs: Architecture, Controls and What Auditors Want
How to architect a GDPR-compliant AI inference deployment on dedicated UK GPU servers. Lawful basis, DPIAs, data flows, and the…
Self-Hosted AI: When to Stop and Move Back to Hosted APIs
Self-hosting isn't always right. Here are the signs that the operational cost has outgrown the savings, and how to migrate…
Explore GPU Hosting Solutions
From the blog to your next deployment — pick the right platform for your workload.
Dedicated GPU Hosting
Bare-metal servers with a dedicated GPU, NVMe, full root access, and 1Gbps networking from our UK datacenter.
Browse GPU ServersPrivate AI Hosting
Isolated GPU infrastructure for sensitive AI workloads — no shared hardware, full data control.
Explore Private AIMulti-GPU Clusters
Scale horizontally with multi-GPU configurations for training and large-model inference.
Explore ClustersAPI Hosting
Host your own AI API endpoints on dedicated GPU servers — low latency, high availability.
Explore API HostingOpen Source LLM Hosting
Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingTokens/sec Benchmarks
Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
View BenchmarksReady to deploy your AI workload?
Dedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.
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PE7 1XU, England
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