{"repo":"parallelArchitect/sparkview","free":true,"listed":false,"github":"https://github.com/parallelArchitect/sparkview","clone":"git clone https://github.com/parallelArchitect/sparkview.git","description":"Operator-grade GPU monitor for NVIDIA GPUs with native GB10 / DGX Spark coherent UMA support — PSI pressure, clock detection, ConnectX-7 network layer","language":"Python","stars":27,"topics":["cuda","dgx-spark","gb10","gpu","monitoring","nvidia","psi","python","tui","unified-memory"],"license":"MIT","category":"analytics","readme_excerpt":"sparkview Operator-grade GPU monitor for NVIDIA GPUs with GB10 / DGX Spark–aware unified memory handling. Features - GPU utilization, temperature, power, memory — via NVML - Runtime detection of coherent UMA (GB10 / DGX Spark) - Memory display uses vm.total - vm.available for accurate UMA reporting - Memory pressure (PSI) — LOW / MOD / HIGH / CRITICAL from /proc/pressure/memory - Load-gated clock states — IDLE / PASS / LOCKED / THROTTLED - CPU utilization and active core count - SWAP monitoring - TEMP row — current and session peak for GPU and CPU, color-coded green/yellow/red - INFO row — time, driver version, CUDA version, kernel, uptime - Process list sorted by GPU memory usage, scales to terminal height - PWR row — GB10 power rail monitor via spark hwmon (gpu, dc input, syspl1, PROCHOT, PL level, Tj-rise) — hidden on non-GB10 systems - Anomaly auto-logger — automatically logs to /sparkview logs/ when issues are detected - Clean exit on Ctrl+C Community discussion and field results: https://forums.developer.nvidia.com/t/sparkview-gpu-monitor-tool-with-gb10-aware-unified-memory-handling/366877 Install Run Add a permanent alias for one-command launch from terminal: Then just type sparkview from terminal to launch. Anomaly Logging sparkview automatically starts logging when any of these conditions are detected: - PSI memory pressure reaches MOD, HIGH, or CRITICAL - GPU clock drops to THROTTLED or LOCKED under load - Memory 85% with swap active - GPU or CPU temperature exceeds","default_branch":null,"files":null,"tree":[],"storefront":"/r/parallelArchitect","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/parallelArchitect/sparkview/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."}