Llamacpp

A self-hosted AI agent needs more than a long context window. It needs a way to retain useful facts, retrieve earlier decisions, and revise what it thinks it knows as projects evolve.

WordPress SEO plugins add the metadata, sitemaps, schema, and AI layer above WordPress core, and in 2026 that layer includes plugins that run inference on your own hardware.

Self-hosted SEO now covers crawlers, Search Console dashboards, rank trackers, MCP servers, and local AI. This guide compares the main open-source platforms and which features work without paid SEO APIs.

Ollama and llama.cpp are often compared as if they were rival inference engines. The real choice is between a managed model service and a toolkit you operate directly.

ROCm and Vulkan both accelerate AMD GPUs for local LLM hosting, but they are not interchangeable. The right choice depends on the engine, GPU, and workload.

A model can advertise a 128K context window and still fail at 40K tokens on a 16 GB GPU. The architecture ceiling never promised that weights, KV cache, compute buffers, and the desktop compositor would fit on your card at the same time.