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    Local AI

    How to run open-weight AI models on your own hardware: what each model needs, and the machines that reach it.

    • DeepSeek V4.1-Flash needs 510GB, and nothing can run it yet

      12 Sep 2026

      DeepSeek V4.1-Flash needs 510GB, and nothing can run it yet

      Flash names a fast model, not a small one. The compression has already been spent and no released engine loads the architecture. Here is what it will need, and the DeepSeek you can run today.

    • GLM-5.3 hardware requirements

      12 Sep 2026

      GLM-5.3 hardware requirements

      744B weights, 40B active per token, and a 4-bit build that wants 475GB. What the strongest open model needs, what you give up at each quantisation, and which machines reach it.

    • How much memory to run an open model locally

      12 Sep 2026

      How much memory to run an open model locally

      Total parameters set the memory bill. Active parameters set the speed. A capacity ladder for the open models of 2026, from 17GB to 1.6TB.

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