{"repo":"FedML-AI/FedML","free":true,"listed":false,"github":"https://github.com/FedML-AI/FedML","clone":"git clone https://github.com/FedML-AI/FedML.git","description":"FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.","language":"Python","stars":4059,"topics":["federated-learning","deep-learning","distributed-training","edge-ai","machine-learning","on-device-training","inference-engine","mlops","model-deployment","model-serving"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"FEDML Open Source: A Unified and Scalable Machine Learning Library for Running Training and Deployment Anywhere at Any Scale Backed by TensorOpera AI: Your Generative AI Platform at Scale (https://TensorOpera.ai) TensorOpera Documentation: https://docs.TensorOpera.ai TensorOpera Homepage: https://TensorOpera.ai/ \\ TensorOpera Blog: https://blog.TensorOpera.ai/ Join the Community: Slack: https://join.slack.com/t/fedml/shared invite/zt-havwx1ee-a1xfOUrATNfc9DFqU r34w \\ Discord: https://discord.gg/9xkW8ae6RV TensorOpera® AI (https://TensorOpera.ai) is the next-gen cloud service for LLMs & Generative AI. It helps developers to launch complex model training, deployment, and federated learning anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, easily, economically, and securely. Highly integrated with TensorOpera open source library, TensorOpera AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds. A typical workflow is showing in figure above. When developer wants to run a pre-built job in Studio or Job Store, TensorOpera®Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. When running the job, TensorOpera®Launch orchestrates the compute plane in different cluster topologies and configuration","default_branch":null,"files":null,"tree":[],"storefront":"/r/FedML-AI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/FedML-AI/FedML/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}