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.
A visual breakdown of how context length scales VRAM usage for popular LLMs, comparing KV cache growth across LLaMA 3, Mistral, DeepSeek, and Qwen models.
How continuous batching dramatically improves GPU utilisation for LLM inference, with before/after benchmarks, vLLM configuration, and practical tuning for production…
VRAM requirements for DeepSeek V3 and R1 at different context lengths, covering the MoE architecture's unique KV cache behaviour and…
How FlashAttention reduces VRAM consumption and speeds up LLM inference through IO-aware attention computation, with benchmarks and setup instructions for…
A practical guide to choosing between FP16, INT8, and INT4 precision for LLM inference, with speed, quality, and VRAM trade-offs…
A head-to-head comparison of GGUF and GPTQ for dedicated GPU server deployments, covering speed, VRAM, quality, and ecosystem support for…
Understanding how the KV cache works in LLM inference, why it consumes so much VRAM, and practical techniques to manage…
How much VRAM does LLaMA 3 70B need at different context lengths? Full breakdown from 4K to 128K tokens with…
Detailed VRAM usage for LLaMA 3 8B at different context lengths from 4K to 128K tokens, covering KV cache scaling…
VRAM requirements for Mistral 7B at different context window sizes from 4K to 32K tokens, with GPU recommendations and memory…
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 ServersDeploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingHigh-throughput LLM inference with vLLM on dedicated GPU servers — PagedAttention, continuous batching.
Deploy vLLMThe easiest way to run open source LLMs — deploy Ollama on a dedicated GPU server in minutes.
Deploy OllamaEstimate your LLM inference costs across GPU tiers — interactive calculator with real pricing.
Calculate CostReal-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.