Container
GPUd is designed to ensure GPU efficiency and reliability by actively monitoring GPUs and effectively managing AI/ML workloads. Brought to you by https://www.nvidia.com/en-us/data-center/dgx-cloud-lepton.
v0.10.0
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Overview
GPUd is designed to ensure GPU efficiency and reliability by actively monitoring GPUs and effectively managing AI/ML workloads.
Why GPUd
GPUd is built on years of experience operating large-scale GPU clusters at Meta, Alibaba Cloud, Uber, and Lepton AI. It is carefully 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 DGX Cloud Lepton's production infrastructure.
Publisher
NVIDIA DGX Cloud Lepton
Latest Tagv0.10.0
UpdatedFebruary 5, 2026 UTC
Compressed Size1.49 GB
Multinode SupportNo
Multi-Arch SupportYes
System