{"repo":"tonyd2wild/The-Sparky-Command-Center","free":true,"listed":false,"github":"https://github.com/tonyd2wild/The-Sparky-Command-Center","clone":"git clone https://github.com/tonyd2wild/The-Sparky-Command-Center.git","description":"Plug-and-play, dependency-free web command center for DGX Spark fleets (and any GPU boxes): live per-node GPU/CPU/mem/temps/power, optional RouterOS switch monitoring, and per-model decode/prefill/TTFT/KV cards. Point it at your own hardware.","language":"Python","stars":33,"topics":["dashboard","dgx-spark","gpu-monitoring","homelab","llm","llm-inference","mlops","monitoring","self-hosted","vllm"],"license":"MIT","category":"self-hosted-apps","readme_excerpt":"Sparky Command Center A lightweight, dependency-free command center for a DGX Spark fleet (and any GPU boxes you add alongside it, like 3090 rigs). Monitor the whole cluster over SSH on one glassmorphic page: live GPU / CPU / memory / temperature / power, an optional RoCE fabric-switch panel, and per-model decode, prefill, and TTFT. Point it at your own hardware with a single config.json . No database, no build step, no third-party packages — just Python 3.8+ and SSH. Repo: sparky-command-center Features - Fleet at a glance — one page with a summary strip (online GPUs, total power draw, hottest GPU, and thermal/reachability-aware fleet status). - Per-GPU hardware metrics — temperature, power draw and % of cap, utilization, VRAM used/total, fan speed, and graphics clock, with a live temperature sparkline per GPU. - Per-node system metrics — host temperature (AMD k10temp , Intel coretemp , ARM cpu thermal , ACPI acpitz , and more), extra thermal sensors, and system RAM. Works for DGX Sparks and any other Linux GPU host. - Per-model inference metrics — decode tok/s, prefill tok/s, TTFT, KV-cache usage, and running/waiting request counts, scraped from each model's Prometheus /metrics . Works with vLLM and llama.cpp servers. - Multiple instances, side by side — run more than one model shape on a node, or run two instances across the fleet, and each gets its own perf card (separate decode / prefill / TTFT / KV). - Cumulative token tracker — a Token Tracker panel (and a /api/tokens ","default_branch":null,"files":null,"tree":[],"storefront":"/r/tonyd2wild","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tonyd2wild/The-Sparky-Command-Center/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}