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beam
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Tool profile

jdaln/dgx-spark-inference-stack

dying

Serve the home! Inference stack for your Nvidia DGX Spark aka the Grace Blackwell AI supercomputer on your desk. Mostly vLLM based for now and single-spark. For the not-so-rich buddies. If you want latest/in-testing, look at the branches

cudadgxdgx-sparkdockerdocker-composegb10generative-aiinference
Velocity score
0.00/ 10
[STARS]
52
[FORKS]
5
[CONTRIBUTORS]
2
[LAST_COMMIT]
5mo ago
OPEN_ON_GITHUB
Velocity class: dying
Is jdaln/dgx-spark-inference-stack still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
296/ 1000
inference · jdaln/dgx-spark-inference-stack
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
223
[INSTALL_VEL]
498
[ACTIVITY]
140
[COMMUNITY_SIGNAL]
279

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout