Local LLM Architecture: High-Performance Inference on Consumer Hardware

contact@miska.dev (Miska Hämäläinen) — Wed, 14 Oct 2026 00:00:00 +0000

Open-source projects like Strata and Project Maya run models in the 125–321 billion parameter range on high-end consumer GPUs. Everything below is measured on my own machine, not copied from marketing pages.

1. The Hardware Constraint
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Standard large language models (LLMs) use dense architectures. A dense model loads all parameter weights into memory to process each token.

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Local LLM Architecture: High-Performance Inference on Consumer Hardware

1. The Hardware Constraint #

1. The Hardware Constraint
#