LLM Hosting
Deploy large language models on your own hardware. Our LLM hosting guides cover deployment with vLLM, Ollama, and other frameworks on dedicated GPU servers. Run open source LLMs like LLaMA, Mistral, and DeepSeek with full control and no per-token costs.
LLM Warm-Up: Pre-Loading Models
Eliminate cold start delays in LLM inference by pre-loading models, warming KV caches, compiling CUDA graphs, and implementing readiness probes on GPU servers.
LLM Logging & Observability
Implement logging and observability for production LLM deployments. Covers request logging, latency tracking, token usage monitoring, Prometheus metrics, and debugging…
LLM Token Counting: Usage Tracking
Track LLM token usage accurately for cost allocation, quota enforcement, and capacity planning. Covers tokenizer matching, usage extraction from vLLM…
LLM Multi-Turn Memory Management
Manage multi-turn conversation memory for self-hosted LLMs. Covers context window budgeting, message truncation strategies, summarisation, KV cache reuse, and session…
vLLM vs TGI vs Ollama: LLM Inference Engine Comparison
Compare vLLM, HuggingFace TGI, and Ollama for LLM inference on dedicated GPU servers. Benchmarks for throughput, latency, and features to…
How to Scale AI Inference from Prototype to Production
A practical guide to scaling AI inference from a single prototype server to a production deployment that handles real traffic…
GPTQ vs AWQ vs GGUF: LLM Quantization Guide for GPU Servers
Compare GPTQ, AWQ, and GGUF quantization formats for running large language models on dedicated GPU servers. Learn which format delivers…
Self-Hosting vs API for LLMs: Full Deployment Comparison
A comprehensive comparison of self-hosted LLM inference on dedicated GPUs versus API-based access. Covers cost, latency, privacy, control, and when…
How to Self-Host an LLM on a Dedicated GPU Server
A complete step-by-step guide to self-hosting open source LLMs on a dedicated GPU server, from initial setup through deploying a…
vLLM vs Ollama: Which Inference Engine Should You Use?
A detailed comparison of vLLM and Ollama covering throughput benchmarks, memory efficiency, API compatibility, and deployment complexity to help you…
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 ServersOpen Source LLM Hosting
Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingvLLM Hosting
High-throughput LLM inference with vLLM on dedicated GPU servers — PagedAttention, continuous batching.
Deploy vLLMOllama Hosting
The easiest way to run open source LLMs — deploy Ollama on a dedicated GPU server in minutes.
Deploy OllamaCost per Million Tokens
Estimate your LLM inference costs across GPU tiers — interactive calculator with real pricing.
Calculate CostTokens/sec Benchmarks
Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
View BenchmarksReady to deploy your AI workload?
Dedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.
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