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Batch utility · 2026-09-14

Running gpt-oss:20b on a cheap dedicated server without a GPU

A CPU-only approach: gpt-oss:20b on a cheap 64-128GB dedicated server with an SSD, balancing CPU, RAM, disk and any GPU together rather than forcing everything onto graphics.

This person suggests that depending on how well the system is optimised, gpt-oss:20b can run on a cheap dedicated server with 64-128GB of RAM and an SSD, with no graphics card strictly required. A GPU only speeds things up.

Their tip is to configure the system so CPU, RAM, disk and graphics are all used together, rather than pushing everything through the GPU, which they say increases overall output.

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Reported anonymously by an r/LocalLLM contributor · score 1

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CURRENT2026-09-14Running gpt-oss:20b on a cheap dedicated server without a GPU

A CPU-only approach: gpt-oss:20b on a cheap 64-128GB dedicated server with an SSD, balancing CPU, RAM, disk and any GPU together rather than forcing everything onto graphics.

Batch utility1 machineGPT-OSS 20BRuntime unspecified

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