Tutorials
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.
Feedback Loops and RLHF Self-Hosted
Capturing user feedback into model improvement loops — thumbs / rating / explicit corrections feeding back into DPO training.
AI Shadow Deployment Pattern
Shadow deployment for AI: send requests to new model alongside production; compare without affecting users. The right validation pattern.
Graceful Error Handling for AI APIs
Production-grade error handling for LLM APIs — structured errors, retry semantics, user-friendly messages.
AI Feature Canary Rollouts
Canary deployment for AI features — gradual traffic ramp with eval-driven gating. The pattern that catches regressions.
Prompt Library Pattern
Building a shared prompt library across teams — structure, governance, versioning. The internal prompt-as-code platform.
Eval Harness Design for LLM Production
What goes into a production eval harness — representative prompts, grading rubrics, automation, gating. The reference design.
Semantic Cache Implementation
Semantic caching for LLM responses — embed the query, look up similar past queries, return cached response. ~20-40% hit rate…
Cost Monitoring for Self-Hosted AI
Track £/M tokens, cache hit rate, fallback rate, and other cost-relevant metrics for self-hosted AI. The dashboard you actually need.
Dataset Versioning for Fine-Tuning
Version-control your fine-tuning datasets — DVC, HF datasets, content-addressed storage. Reproducibility that survives audits.
Blue-Green Deployment for AI Services
Zero-downtime deploys for vLLM and AI services using the blue-green pattern. Specific gotchas for stateful inference.
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 ServersPyTorch Hosting
GPU-accelerated PyTorch on dedicated servers — CUDA, cuDNN, and NVMe pre-configured.
Deploy PyTorchvLLM Hosting
High-throughput LLM serving with vLLM — deploy on dedicated GPU hardware.
Deploy vLLMOllama Hosting
Run open source LLMs with Ollama — the simplest path to self-hosted AI.
Deploy OllamaOpen 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?
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