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.
How Much Bandwidth Does AI Inference Need?
Guide to network bandwidth requirements for AI inference APIs. Covers bandwidth for LLM serving, image generation, speech-to-text, and multi-user scaling with sizing recommendations.
Dedicated GPU Hosting for GDPR-Compliant AI (UK/EU Data Residency)
Learn how dedicated GPU hosting in UK datacentres ensures GDPR compliance for AI workloads, keeping sensitive training data and inference…
UK GPU Servers for AI: Why Data Location Matters
Understand why hosting AI workloads on UK-based GPU servers matters for data sovereignty, latency, compliance, and operational control.
Single GPU vs Multi-GPU: When Do You Need to Scale?
Understand when a single GPU server is sufficient for AI workloads and when scaling to multi-GPU configurations becomes necessary for…
Bare Metal vs Virtual GPU: Performance Comparison for AI
Compare bare-metal and virtualised GPU performance for AI workloads. Understand the overhead of GPU virtualisation and when dedicated hardware delivers…
NVMe vs SSD for AI Workloads: Storage Performance Guide
Compare NVMe and SATA SSD storage performance for AI workloads. Understand how storage speed affects model loading, training data I/O,…
GPU Server Uptime and Reliability: What 99.9% SLA Means for AI
Understand GPU server SLAs, what 99.9% uptime really means for AI workloads, and how to evaluate reliability guarantees when choosing…
Dedicated GPU Hosting for Startups: Getting Started Guide
A practical guide for startups evaluating dedicated GPU hosting for AI products. Covers cost planning, hardware selection, and scaling strategies…
How to Set Up Auto-Scaling AI Inference with Load Balancing
Build an auto-scaling AI inference architecture with load balancing across multiple GPU servers. Covers health checks, dynamic scaling triggers, and…
Multi-GPU Server Setup for Large Model Inference
A complete guide to setting up multi-GPU servers for large model inference. Covers tensor parallelism, pipeline parallelism, hardware selection, vLLM…
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.
65 Victory Avenue
PE7 1XU, England
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