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sparkDash
sparkDash is a real-time web dashboard that monitors multiple NVIDIA DGX Spark machines in a single browser window, streaming GPU, CPU, memory, storage, network, and LLM metrics with hot‑configurable multi‑unit management.
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License
MIT
Last updated
2026-07-28
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a complete, Docker‑first monitoring solution tailored specifically for the DGX Spark ARM64 platform, with integrated LLM backend detection, power controls, and a hot‑configurable architecture that requires no restarts when adding or modifying units.
Who it is for
- Owners and operators of NVIDIA DGX Spark clusters
- AI/ML engineers running inference on multiple Sparks
- System administrators managing edge AI infrastructure
- Data center technicians overseeing Spark fleets
Use cases
- Monitor GPU utilization, unified memory, and system health across a fleet of DGX Sparks from a single dashboard
- Track real‑time tokens per second from llama.cpp, vLLM, or sglang servers per Spark
- Remotely shut down or wake individual Sparks or the entire cluster via the Overview page
- Add, edit, reorder, or remove Sparks on‑the‑fly without restarting the monitoring service
Strengths
- Real‑time WebSocket streaming with configurable poll intervals and a central history store for sparklines
- Hot configuration via the UI — add or modify Sparks without code changes or service restarts
- Supports multiple LLM servers per Spark with automatic backend detection and parallel probes
- Encrypted SSH password storage using AES‑256‑GCM, never exposed in config files or API responses
Considerations
- The dashboard API is intentionally unauthenticated; it must run only on a trusted LAN or behind a reverse proxy with its own authentication
- Designed exclusively for ARM64 (NVIDIA DGX Spark GB10); not usable on x86 or other platforms
- Requires the spark‑shutdown script to be manually installed on each Spark for power‑off functionality
README quick start
Quick start
Description
sparkDash ⚡ — Multi-DGX Spark Monitoring Dashboard
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