Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Open-weight models respond differently to prompts than GPT-4o or Claude. Patterns that work, anti-patterns to avoid, and how to migrate prompts.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Should you buy AI hardware outright or rent monthly? The decision math including capex, opex, depreciation, and operational overhead.
How to set up an evaluation pipeline that catches model quality regressions before they reach production — your CI for…
SDXL Turbo generates images in 1-4 sampling steps. Real benchmarks for self-hosted Turbo deployments and when it beats full SDXL.
The three enterprise AI deployment shapes — self-hosted dedicated, Azure OpenAI, AWS Bedrock — compared on cost, compliance, and operational…
The 4090's 24 GB hosts a voice agent stack — Whisper + LLM + TTS — with comfortable headroom. Setup…
Building a complete RAG stack on a single RTX 3090 — Llama 3.1 8B FP16, BGE embeddings, BGE-reranker, Qdrant. £179/mo…
How to instrument a self-hosted AI deployment for analytics — per-user costs, model usage, prompt patterns, and the dashboards that…
Blackwell is the architectural step that made FP4 hardware mainstream. Here is what the architecture actually does for AI workloads…
What to back up on a self-hosted AI inference server, restore time objectives, and the simplest DR plan that actually…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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