Shell · MIT
eelbaz/dgx-spark-vllm-setup
One-command vLLM installation for NVIDIA DGX Spark with Blackwell GB10 GPUs (sm_121 architecture)
★ 110
Stars
17 forks · 6 open issues
—
Growth · stale
We stopped seeing this repository in its topic's top results, so its star count is frozen at the date it was last read. Subtracting from a frozen number would read as zero growth, which would be false, so no rate is shown.
5.9
Momentum / 100
see the breakdown below
12mo ago
Created
last push 12mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | — — no measurable rate |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 12mo ago; decays to zero at 180 days |
| Scale | 15 | 5.9 | 110 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 5.9 | capped at 35 because growth is unmeasured |
Detail
| Topics | aiarm64blackwellcudadeep-learningdgx-sparkgb10gpullmllm-inferencemachine-learningnvidiapytorchvllm |
| Matched on | LLM & Inference (llm-inference) |
| Short window | no snapshot 5–10 days old yet |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.29 stars/day over 375 days |
| First seen here | 2026-10-11 |
| Last read | 14d ago |