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dgxtop is a Rust-based interactive system monitor designed for NVIDIA DGX systems, providing real-time monitoring of GPU, CPU, memory, disk, and network performance. It is maintained on GitHub by DennySORA and functions as a terminal-based user interface (TUI) to display detailed hardware and system metrics. The tool simplifies GPU status monitoring and can operate even when NVIDIA GPU data is unavailable, falling back to CPU, disk, and network I/O information. It is used by developers and system administrators managing DGX infrastructure for AI workloads. The tool is accessible via command line and is built for high-performance environments where low-latency monitoring is critical.
dgxtop is a Rust-based interactive system monitor designed for NVIDIA DGX systems, providing real-time monitoring of GPU, CPU, memory, disk, and network performance. It is maintained on GitHub by DennySORA and functions as a terminal-based user interface (TUI) to display detailed hardware and system metrics. The tool simplifies GPU status monitoring and can operate even when NVIDIA GPU data is unavailable, falling back to CPU, disk, and network I/O information. It is used by developers and system administrators managing DGX infrastructure for AI workloads. The tool is accessible via command line and is built for high-performance environments where low-latency monitoring is critical.
The tool gained visibility through a Hacker News post highlighting its utility as a Rust-based monitor for DGX systems, emphasizing ease of use and comprehensive hardware monitoring. A GitHub repository listing confirms its active development and community interest, with users noting its ability to retrieve detailed GPU information and fallback to other system metrics when GPU data is unavailable. The tool is referenced in technical discussions around DGX system management, particularly in contexts involving AI infrastructure monitoring. Its relevance increases as more organizations deploy DGX systems for large-scale AI training and inference workloads. The Reddit thread mentioning 4-bit GLM-5.2 performance on DGX Spark indirectly underscores the growing need for robust system monitoring in such environments.
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Jul 23, 2026