The Missing GPU Management for AI
GPUd automates monitoring, diagnostics, and issue identification for GPUs
Simplify GPU machine management
One simple tool to monitor your GPU/CPU machines and run workloads.
Why GPUd
GPUd is designed to be self-contained and to integrate seamlessly with other systems such as Docker, containerd, Kubernetes, and Nvidia ecosystems.
First-class GPU support
GPUd is GPU-centric, providing a unified view of critical GPU metrics and issues.
Easy to run at scale
GPUd is a self-contained binary that runs on any machine with a low footprint.
Production grade
GPUd is used in Lepton AI production infrastructure.
Key features
- Monitor metrics
- Monitor critical GPU and GPU fabric metrics (power, temperature).
- Report status
- Reports GPU and GPU fabric status (nvidia-smi parser, error checking).
- Detect errors
- Detects critical GPU and GPU fabric errors (dmesg, hardware slowdown, NVML Xid event, DCGM).
- Monitor system
- Monitor overall system metrics (CPU, memory, disk).
Built by AI and Cloud Experts
