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.
MCP Server with a Self-Hosted LLM
Model Context Protocol lets any compatible client wire tools and resources into an LLM. Self-hosted MCP servers stay private on your GPU server.
RTX 5060 Ti 16GB Automatic1111 Setup
Install Automatic1111 WebUI on Blackwell 16GB - the classic SD interface with its massive extension ecosystem.
AWQ Quantization Guide for RTX 5060 Ti 16GB
AWQ INT4 serving guide for Blackwell 16GB - checkpoint selection, vLLM config, Marlin kernel performance, and when to pick AWQ…
RTX 5060 Ti 16GB Docker CUDA Setup
Install Docker + NVIDIA Container Toolkit on Blackwell 16GB for CUDA-accelerated containers.
RTX 5060 Ti 16GB Embedding Server
Deploy Text Embeddings Inference (TEI) on Blackwell 16GB - OpenAI-compatible embedding API for RAG.
ExLlamaV2 Hosting on RTX 5060 Ti 16GB
EXL2 on Blackwell 16GB via TabbyAPI - fastest non-vLLM LLM runtime, flexible bits-per-weight, and when to pick it over AWQ.
Fine-Tune LoRA on RTX 5060 Ti 16GB – Guide
A step-by-step LoRA fine-tune on Llama 3 8B with Unsloth, PEFT and TRL - config, code and wall-clock times.
RTX 5060 Ti 16GB First Day Checklist
The commands, config and sanity checks to work through on day one of a new Blackwell 16GB dedicated server -…
GGUF Hosting on RTX 5060 Ti 16GB
llama.cpp GGUF hosting on Blackwell 16GB - quantisation variant picker, llama-server config, and when GGUF beats vLLM.
GPTQ Quantization Guide for RTX 5060 Ti 16GB
GPTQ INT4 on Blackwell 16GB - when to pick it over AWQ, ExLlama kernel performance, and widely-available checkpoints.
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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