Langhalsdino/Kubernetes-GPU-Guide

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

816 112 +0/wk

GitHub

cluster deep-learning distributed-systems gpu gpu-computing guide kubernetes kubernetes-cluster kubernetes-gpu-cluster kubernetes-setup worker-nodes

Trend 0

Star & Fork Trend (19 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 816

forks 112

Growth Velocity

Langhalsdino/Kubernetes-GPU-Guide has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	Kubernetes-GPU-Guide	awesome-scene-understanding	NextFace	relational-networks
Stars	816	816	816	816
Forks	112	96	103	160
Weekly Growth	+0	+0	+0	+0
Language	Shell	N/A	Jupyter Notebook	Python
Sources	1	1	1	1
License	MIT	MIT	GPL-3.0	BSD-3-Clause

Capability Radar vs awesome-scene-understanding

Kubernetes-GPU-Guide

awesome-scene-understanding

Maintenance Activity 0

Last code push 1284 days ago.

Community Engagement 69

Fork-to-star ratio: 13.7%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.