Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
The components of gross margin for an AI product and a simple framework for modelling different infrastructure choices against revenue.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
HunyuanVideo needs far more VRAM than most open models. Here are the real numbers, GPU options and fall-backs for smaller…
A complete auth-protected vLLM setup: TLS, API keys, per-key rate limits. Production-grade access control without writing app code.
From laptop to dedicated GPU to multi-server - the practical infrastructure progression for a UK AI startup avoiding expensive detours.
Loading a 70B model from disk takes seconds even on fast NVMe. RAID 0 across multiple drives cuts that materially…
Beyond the default dashboard view, nvidia-smi has subcommands for process listings, ECC status, topology, and continuous logging.
UK electricity is expensive but datacenter economies of scale dominate consumer rates. Here is what that means for dedicated GPU…
Llama 3.3 supports structured tool use. Getting reliable function calls on a self-hosted deployment takes the right inference config and…
OpenAI's Assistants API bundles retrieval, code execution, and function calling behind one endpoint. Rebuilding that on a dedicated GPU is…
Exact VRAM footprint for Qwen 2.5 32B at FP16, FP8 and AWQ INT4, plus which GPUs fit and when a…
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.