kai-scheduler/KAI-Scheduler
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
Repository profile
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Repository updates
Get generated kserve/kserve development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-15 03:14
5 captures since 2026-05-25
Stars from baseline +183
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:14
go.mod
go ecosystem,
217 dependencies
go.sum
go ecosystem,
0 dependencies
python/pyproject.toml
python ecosystem,
0 dependencies
qpext/go.mod
go ecosystem,
78 dependencies
qpext/go.sum
go ecosystem,
112 dependencies
docs/kfp/requirements.txt
python ecosystem,
2 dependencies
python/aiffairness/pyproject.toml
python ecosystem,
8 dependencies
python/artexplainer/pyproject.toml
python ecosystem,
9 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
A Datacenter Scale Distributed Inference Serving Framework
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.