Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
A clear explanation of dedicated GPU hosting for AI workloads. Covers how it works, who benefits, how it differs from cloud GPU instances, and what to look for in a…
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
A comprehensive comparison of self-hosted LLM inference on dedicated GPUs versus API-based access. Covers cost, latency, privacy, control, and when…
Deploy PaddleOCR on a private GPU server for high-speed, privacy-first document processing. Covers installation, GPU acceleration, batch processing, and API…
A complete guide to setting up multi-GPU servers for large model inference. Covers tensor parallelism, pipeline parallelism, hardware selection, vLLM…
A step-by-step guide to deploying DeepSeek R1 and V3 models on dedicated GPU hardware. Covers hardware requirements, vLLM setup, and…
Step-by-step guide to deploying DeepSeek R1 and V3 on a dedicated GPU server with vLLM or Ollama — including GPU…
A detailed comparison of vLLM and Ollama covering throughput benchmarks, memory efficiency, API compatibility, and deployment complexity to help you…
A complete step-by-step guide to self-hosting open source LLMs on a dedicated GPU server, from initial setup through deploying a…
Tired of per-token API pricing? Compare Together.ai with self-hosted LLM inference on dedicated GPU servers — full cost and performance…
Looking beyond RunPod? We compare pricing, GPU availability, and reliability across dedicated GPU hosting providers for AI workloads.
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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Browse ArticlesDedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.