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.
时间与来源
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发布当时偏移：UTC+02026年9月29日 05:13 UTC
收录当时偏移：UTC+02026年9月29日 20:00 UTC
- 发布
- 2026年9月29日 05:13
- 收录
- 2026年9月29日 20:00
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
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: