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.
Run LLMs affordably with Ollama on the RTX 4060. This guide covers which models fit in 8GB VRAM, expected performance, and how to get the most from a budget GPU…
The RTX 5090's 32GB GDDR7 unlocks Mixtral 8x7B, 34B models in high quality, and dual-model setups in Ollama. Full compatibility…
Deploy TensorRT-LLM on a dedicated GPU server for maximum inference speed. Covers engine building, INT4/INT8 quantisation, Triton Inference Server integration,…
Step-by-step guide to deploying vLLM on an RTX 3090 dedicated server. Covers installation, configuration tuning, and throughput benchmarks for 7B-34B…
How to configure vLLM on the RTX 5080 for maximum throughput. Covers Blackwell-specific optimisations, FP4 inference, GDDR7 tuning, and benchmark…
Configure vLLM on the RTX 5090 for maximum throughput. 32GB GDDR7, 1792 GB/s bandwidth, and Blackwell tensor cores enable FP16…
Comparing Qdrant and Weaviate vector database performance on GPU-accelerated servers. Benchmarking search latency, indexing speed, and scalability for RAG pipelines.
Comparing FAISS and Milvus for GPU-accelerated vector search. Library versus database approach to similarity search with performance benchmarks and deployment…
ChromaDB versus Qdrant for vector storage. Comparing developer-friendly simplicity against production-grade performance for RAG applications on dedicated GPU hosting.
pgvector inside PostgreSQL versus FAISS as a dedicated vector search library. Comparing operational simplicity against raw performance for RAG on…
From the blog to your next deployment — pick the right platform for your workload.
Bare-metal servers with a dedicated GPU, NVMe, full root access, and 1Gbps networking from our UK datacenter.
Browse GPU ServersGPU-accelerated PyTorch on dedicated servers — CUDA, cuDNN, and NVMe pre-configured.
Deploy PyTorchHigh-throughput LLM serving with vLLM — deploy on dedicated GPU hardware.
Deploy vLLMRun open source LLMs with Ollama — the simplest path to self-hosted AI.
Deploy OllamaDeploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingReal-world tokens per second data across every GPU we offer, tested on popular LLMs.
View BenchmarksDedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.