Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Augmenting internal search (Notion, Confluence, SharePoint, Drive) with LLM-generated answer summaries. Self-hosted economics.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
End-to-end document processing on self-hosted GPU — OCR + structure extraction + LLM analysis + structured output. The reference architecture.
Pydantic models as LLM output schemas — type-safe, validated, IDE-friendly. The Python pattern for production structured generation.
Model Context Protocol (MCP) is becoming the standard for tool / data integration with LLMs. The architecture and the patterns.
Phi-3 / Llama 3.2 1B / Qwen 2.5 0.5B on edge devices — low-VRAM patterns for kiosks, embedded, mobile workstations.
RAFT teaches an LLM to ignore irrelevant retrieved passages and ground answers in relevant ones. Fine-tuning pattern that improves RAG…
Fine-tuning BGE / E5 embeddings on domain-specific data — measurably better retrieval quality for niche corpora.
Self-hosted AI for manufacturing — quality inspection (vision), maintenance documentation, supplier KB. On-prem and edge patterns.
Building a shared prompt library across teams — structure, governance, versioning. The internal prompt-as-code platform.
Self-hosted AI for UK public sector — NHS, councils, central government. G-Cloud, Crown Commercial Service, residency.
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.