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.
Multi-Agent Orchestration
Orchestrating multiple specialised agents on a shared task — supervisor, peer-collaboration, role-based patterns.
Streaming LLM Frontend Patterns
How frontend apps consume SSE streams from LLMs — React hooks, optimistic UI, abort handling.
Evaluator Bias Mitigation
Practical methods to reduce LLM-as-judge bias — position randomisation, blind grading, multi-judge consensus.
Prompt Caching Deep Dive
vLLM's prefix caching, semantic caching, hosted-API prompt caching — the layers and how they compound.
Fine-Tune Data Curation
Quality of fine-tuning data matters more than quantity. The curation discipline that produces useful fine-tunes.
RAG Evaluation Best Practices
How to build a RAG eval set that actually catches regressions — representative queries, golden chunks, grading rubrics.
Vector Search Tuning: HNSW Parameters
HNSW is the default vector index. Three parameters matter for production: M, ef_construction, ef_search. The trade-offs.
Data Quality for RAG
RAG quality is bounded by source data quality. Cleaning + deduplication + structure extraction matters as much as embeddings.
Streaming Response Handling
SSE streaming for LLM responses — client patterns, server config, error handling. The reference implementation.
Context Window Strategies
Managing long context efficiently — chunked summarisation, context compression, sliding window, hierarchical RAG.
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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