CPU vs GPU for AI — Simple Guide
By: Paul Wright On:
Choosing between a CPU and a GPU for AI work comes down to one thing: how much parallel maths you…
AI Guides & Tools for Developers and Enthusiasts
AI is reshaping how we build software, optimise content and run infrastructure. Our AI coverage blends practical workflows with deeper technical insights – from LLM hosting and model evaluation to vector databases, retrieval pipelines and AI-powered coding tools.
If you’re building with LLMs, start with LLM Hosting Requirements and the LLM Infrastructure Blueprint. For search and retrieval, see Vector DB 101 for WordPress & RAG.
Latest AI Articles
6 results in All Articles
What Is a Large Language Model?
By: Paul Wright On:
Large Language Models (LLMs) now underpin most of the AI tools people use daily, from chatbots to coding assistants. This…
Infrastructure for AI-Driven Websites: GPUs, Vector Databases, and Hybrid Architectures Explained
By: Paul Wright On:
AI-driven websites used to be something only big platforms could justify. Now, small agencies, niche publishers and solo developers are…
Running LLM Apps on Shared/VPS: CPU vs RAM vs VRAM Reality
By: Paul Wright On:
Every hosting engineer eventually faces the same question: “Can I run my LLM application on shared hosting or a small…
The Definitive AI Infrastructure Blueprint: Architecting, Deploying, and Scaling LLM Applications in Production (2025-2026)
By: Paul Wright On:
Updated on: February 13, 2026
The transition from a “wrapper” application to a production-grade AI system is the single most complex infrastructure challenge of the…
Vector DB 101 for WordPress & Docs (RAG basics; when Pinecone vs local SQLite-FAISS)
By: Paul Wright On:
Updated on: November 20, 2025
Search is changing – radically. As large language models become the front-end to technical documentation, knowledge bases, developer blogs, and…