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.
vLLM vs TGI: Throughput Benchmark on Dedicated GPU
Benchmarking vLLM against Hugging Face TGI for throughput on dedicated GPU servers. Detailed token-per-second comparison, latency analysis, and deployment recommendations.
TensorRT vs vLLM: NVIDIA Optimization Comparison
NVIDIA TensorRT-LLM versus vLLM for optimized LLM inference. Kernel-level optimization versus Python flexibility with benchmarks on dedicated GPU servers.
vLLM vs llama.cpp: When to Use Each on GPU Servers
Comparing vLLM and llama.cpp for GPU server deployments. Understand when Python-native serving beats C++ efficiency and how to choose for…
Ollama vs llama.cpp: Ease vs Performance Trade-Off
Comparing Ollama's one-command simplicity with llama.cpp's raw performance on GPU servers. Discover which tool fits your workflow and when ease…
TGI vs Ollama: Production vs Development Serving
Hugging Face TGI versus Ollama for LLM serving. Compare production-grade features against development simplicity and learn where each tool belongs…
AWQ vs GPTQ vs GGUF vs EXL2: 2026 Guide
Comparing AWQ, GPTQ, GGUF, and EXL2 quantisation formats for LLM inference in 2026. Speed benchmarks, quality retention, framework support, and…
FP16 vs FP8 vs INT4: Precision vs Speed
Comparing FP16, FP8, and INT4 precision formats for LLM inference. Throughput benchmarks, quality impact, VRAM requirements, and GPU hardware compatibility…
KV Cache vs Model Quantization: What to Compress
Comparing KV cache compression and model weight quantisation for reducing LLM memory usage. When to compress the cache, when to…
Speculative Decoding vs Continuous Batching
Comparing speculative decoding and continuous batching for LLM inference optimisation. How each technique improves different metrics, and when to use…
PagedAttention vs Standard KV Cache
Comparing PagedAttention memory management with standard contiguous KV cache allocation for LLM inference. Memory efficiency, throughput gains, and why PagedAttention…
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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