AI Agent Skills

Kubernetes-based, scale-to-zero, request-driven compute

https://dn.dev/master A practical guide to get started with Knative. Knative concepts are explained simple and easy way with lots of demos and exercises.

부스트캠프 AI Tech - Product Serving 자료

ClearML - Model-Serving Orchestration and Repository Solution

Knative入门——构建基于 Kubernetes 的现代化Serverless应用 - https://www.servicemesher.com/getting-started-with-knative/

User documentation for Knative components.

Event-driven application platform for Kubernetes

Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CP

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps so…

esProc SPL is a JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further e…

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.