distributed training

Deeplearning4j is an open-source deep learning framework designed for the Java Virtual Machine (JVM), supporting various deep learning algorithms and seamlessly integrating with Apache Hadoop and Spark, making it suitable for large-scale data processing and distributed computing.

Apache MXNet is an open-source deep learning framework supporting multiple programming languages and devices, offering flexible programming models and efficient distributed training capabilities.

DeepSpeed is an open-source deep learning optimization library by Microsoft, designed to reduce computational resources and memory usage, offering efficient distributed model training, especially suitable for large-scale language model training.

MindSpore, developed by Huawei, is an all-scenario AI framework offering user-friendly APIs and efficient execution, supporting deployment across cloud, edge, and device environments, empowering developers to efficiently build deep learning models.

Lightning AI, based in San Francisco, California, offers a comprehensive AI development platform designed to help users quickly build, train, fine-tune, and deploy models without worrying about infrastructure, cost management, scalability, and other technical issues. With pre-built, fully customizable modular components, users can focus on scientific research without being overly concerned with engineering details.