分布式训练

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Making large AI models cheaper, faster and more accessible

high-performance graph database for real-time use cases

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.

A distributed, fast open-source graph database featuring horizontal scalability and high availability

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Example models using DeepSpeed

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

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Distributed private networking

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Community-driven, simple, yet powerful framework for fast, cost-effective distributed Compute over Data.

A HTTP Ruby API for Consul

Your AI intranet: network the computers you already own for inference and training.