Do you need some extra memory on your DGX Spark?
A new repository helps DGX Spark users expand memory by offloading the spec-decode draft model to a spare 10-24 GB GPU. This frees up gigabytes of memory on the Spark, allowing for increased context or improved quantization quality. The solution supports both TCP and RDMA, and is shipped as eugr-vllm compatible modifications, available at the provided GitHub link.
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PublishedOffset at this time: UTC+0Sep 29, 2026, 05:13 UTC
IngestedOffset at this time: UTC+0Sep 29, 2026, 20:00 UTC
- Published
- Sep 29, 2026, 05:13
- Ingested
- Sep 29, 2026, 20:00
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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: