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News · 2026-10-01

Whitepaper — Beyond the limits of local LLMs

VENETA publishes its first whitepaper. It explains why the language models you run inside your own network fall short, what changes when you put a memory and self-improvement layer around the model, and what we measured on eight open models.

VENETA Inc. · Whitepaper

VENETA has published Beyond the limits of local LLMs, the VENETA Enterprise whitepaper (v1.0, October 2026).

The paper covers five limits of a local LLM that a bigger model does not fix, the memory and self-improvement layer VENETA puts around the model, what we measured on eight open models from 12B to 70B on one desktop-sized machine, what changes industry by industry, seven security probes that treat memory as an attack surface, and what we do not claim.

We measured every number in it ourselves, on synthetic data. The full protocol goes into the paper we are preparing.

Download the whitepaper (PDF, English; the Korean edition is on kr.veneta.ai).

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