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.
Jupyter Setup on RTX 5060 Ti 16GB
Production-grade JupyterLab on Blackwell 16 GB - install, auth, TLS, and a systemd service unit.
RTX 5060 Ti 16GB FP8 KV Cache
FP8 KV cache on Blackwell 16GB - double your context for ~1% quality loss, plus the Blackwell-specific implementation notes.
RTX 5060 Ti 16GB LangChain Quickstart
Connect LangChain to your self-hosted vLLM on Blackwell 16GB - RAG chains, agents, and structured outputs.
RTX 5060 Ti 16GB llama.cpp Setup
Build and run llama.cpp with CUDA on Blackwell 16GB - the lightweight GGUF server for flexibility and Q4 speed.
Migrating to RTX 5060 Ti 16GB from Cloud GPU
Step-by-step checklist for moving AI workloads off AWS, GCP, Azure, RunPod or Lambda onto a UK dedicated Blackwell 16GB server…
RTX 5060 Ti 16GB LlamaIndex Quickstart
Self-hosted LlamaIndex on Blackwell 16GB - ingest docs, build an index, query via your own vLLM endpoint.
RTX 5060 Ti 16GB LLM Context Budget
How to spend 16 GB of VRAM between model weights, KV cache, activations, and prefix cache - concrete budgets for…
RTX 5060 Ti 16GB Load Test Guide
Extended load testing for a 5060 Ti deployment - find thermal, concurrency, and memory ceilings before customers do.
RTX 5060 Ti 16GB Ollama Setup
Install and configure Ollama on Blackwell 16GB - single-command model serving with OpenAI-compatible API.
RTX 5060 Ti 16GB OpenWebUI Setup
OpenWebUI + vLLM/Ollama on Blackwell 16GB - ChatGPT-style frontend for your self-hosted LLM.
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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.
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Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
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