Show HN: Ktop – a themed terminal monitor for GPU, CPU, RAM, temps and OOM kills (github.com)

Ktop, a new terminal-based system resource monitor designed specifically for hybrid LLM workloads, has been launched, offering valuable features for developers and researchers in the AI/ML community. This tool enables users to monitor GPU utilization and memory usage with color-coded sparklines for NVIDIA graphics, alongside tracking network upload/download speeds, overall CPU usage, and RAM and swap memory. A standout feature is the Out of Memory (OOM) kill tracker, which highlights the most recent OOM kills in the last eight hours, a vital function for users managing resource-intensive AI applications. With a responsive UI that allows for smooth keyboard navigation and the option to customize themes across 50 visual styles, Ktop makes resource management more visually engaging and user-friendly. The terminal application can be easily installed from its GitHub repository, requiring minimal setup. Ktop’s development is significant for the AI/ML community as it enhances system monitoring when executing complex workloads, aiding in performance optimization and resource allocation, which are critical as models grow in size and complexity. The tool's reliance on Python and ability to operate without dedicated GPU support further broadens its accessibility and utility in various computing environments.