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How to Run Your Own Local LLM — 2026 Edition — Version 1
How-ToMachine Learning

How to Run Your Own Local LLM — 2026 Edition — Version 1

via HackernoonThomas Cherickal3w ago

In 2026, four Nvidia DGX Spark units (~$19K) give you 512 GB of unified AI memory and ~4 petaflops — enough to run any open-weight frontier LLM on your desk. This article ranks the ten best-performing models (DeepSeek V3.2, Qwen 3.5 family, MiniMax M2.5, GLM-5, Kimi-K2.5, MiMo-V2-Flash, GPT-OSS-120B, Mixtral 8x22B) that fit this hardware when quantised, evaluates each across benchmarks, memory footprint, and real-world suitability, and recommends a ~$36K total setup — including a Lenovo ThinkStation PX command centre — that pays for itself within months versus cloud API costs.

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