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.
Batch Inference Optimisation
Optimising batch inference workloads — daily processing, large-scale extraction, embedding ingest. Different patterns from real-time.
Knowledge Distillation Self-Hosted
Distil a 70B model into a 7B for production — the pattern that keeps quality close while cutting cost ~10×.
Mixture-of-Experts (MoE) Deployment
Deploying MoE models (Mixtral, DeepSeek V3) in production — specific tuning, expert routing, memory considerations.
CUDA Graphs in vLLM
CUDA Graphs eliminate kernel launch overhead in vLLM's decode loop. ~10-20% throughput win on small-batch inference.
Domain-Specific Embedding Fine-Tuning
Fine-tuning BGE / E5 embeddings on domain-specific data — measurably better retrieval quality for niche corpora.
Retrieval-Augmented Fine-Tuning (RAFT)
RAFT teaches an LLM to ignore irrelevant retrieved passages and ground answers in relevant ones. Fine-tuning pattern that improves RAG…
AI Tool Orchestration with MCP
Model Context Protocol (MCP) is becoming the standard for tool / data integration with LLMs. The architecture and the patterns.
Structured Output with Pydantic and LLMs
Pydantic models as LLM output schemas — type-safe, validated, IDE-friendly. The Python pattern for production structured generation.
Document Processing Pipeline Self-Hosted
End-to-end document processing on self-hosted GPU — OCR + structure extraction + LLM analysis + structured output. The reference architecture.
Rate Limiting and Fairness for AI APIs
Rate limits for AI APIs — token-bucket, leaky-bucket, per-tenant fairness. The patterns and the gotchas.
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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