// Run models locally
kservev0.21.0
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Open source Maintained For developers
IN ONE PARAGRAPH
kserve is standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes.
Good for: Developers and teams who want to run models locally.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install kserve - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → inference Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API. ★ 9.6k BentoML The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! ★ 8.9k gpustack A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances. ★ 5.9k ncnn ncnn is a high-performance neural network inference framework optimized for the mobile platform ★ 24k onnxruntime ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator ★ 22k
03Related
- ›Elements of AI · 赫尔辛基大学 / MinnaLearnMultilingual (incl. EN/ZH)
- ›AI For Everyone · DeepLearning.AI / 吴恩达English
- ›Generative AI for Everyone · DeepLearning.AI / 吴恩达English
- ›Introduction to Generative AI 学习路径 · Google Cloud SkillsEnglish
- ›Microsoft Learn: Fundamentals of Generative AI · Microsoft LearnMultilingual (incl. EN/ZH)
- All tutorials →