Free Alternative to AWS SageMaker

Self-hosted AI workspace.

AirLLM 70B inference with single 4GB GPU

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

OpenShell is the safe, private runtime for autonomous AI agents.

The absolute trainer to light up AI agents.

The sandbox agent framework.

A Datacenter Scale Distributed Inference Serving Framework

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

One command. Your entire AI skill stack. Installed.

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

AgentENV (AENV) is a distributed platform for running agent environments at scale.