Do you need some extra memory on your DGX Spark?

Reddit r/LocalLLaMA Tools

Summary

This repository helps DGX Spark users utilize a spare GPU to free up memory for better context or quantization quality by offloading the draft model via remote inference with vllm modifications.

​ I created this repo to help the DGX Spark users that have a spare 10-24 GB GPU at home to squeeze some extra memory out of a single Spark or a Sparks cluster. It moves the spec-decode draft model off your Sparks onto that GPU: the freed GB of memory can be used for extra context, or better quant quality. Supports both TCP and RDMA, shipped as eugr-vllm compatible mods: https://github.com/ciprianveg/gb10-vllm/tree/main/remote-dspark
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