--- title: "FedML" type: "tool" slug: "fedml-ai-fedml" canonical_url: "https://www.graphcanon.com/tools/fedml-ai-fedml" github_url: "https://github.com/FedML-AI/FedML" homepage_url: "https://TensorOpera.ai" stars: 4051 forks: 765 primary_language: "Python" license: "Apache-2.0" archived: false categories: ["llm-frameworks", "ai-agents", "vector-databases"] tags: ["deep-learning", "machine-learning", "distributed-training", "federated-learning", "inference-engine", "mlops", "edge-ai", "ai-agent"] updated_at: "2026-07-11T23:38:19.094873+00:00" --- # FedML > 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 a 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. ## Facts - Repository: https://github.com/FedML-AI/FedML - Homepage: https://TensorOpera.ai - Stars: 4,051 · Forks: 765 · Open issues: 147 · Watchers: 92 - Primary language: Python - License: Apache-2.0 - Last pushed: 2025-10-28T12:44:12+00:00 ## Trust & health _Signals computed from public GitHub metadata. Not a security guarantee._ - Maintenance: Slowing (computed 2026-07-11T23:38:12.971Z) - Security scan: Findings present (0 critical, 0 high, 0 medium, 88 low) · last scan 2026-07-11T23:38:13.304Z - Full report: [trust report](/tools/fedml-ai-fedml/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/fedml-ai-fedml/trust) ## Categories - [LLM Frameworks](/categories/llm-frameworks.md) - [AI Agents](/categories/ai-agents.md) - [Vector Databases](/categories/vector-databases.md) ## Tags deep-learning, machine-learning, distributed training, federated-learning, inference-engine, mlops, edge-ai, ai-agent ## Category neighbours (exploratory) _Same-category tools for discovery only - not curated alternatives. Cap shown at six._ - [awesome](/tools/sindresorhus-awesome.md) - 😎 Curated list of awesome topics including hardware resources (★ 484,026) [Active] - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system for AI agents (★ 228,395) [Very active] - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The agent that grows with you (★ 212,994) [Very active] - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. (★ 185,464) [Very active] - [ollama](/tools/ollama-ollama.md) - Get up and running with various large language models using Ollama. (★ 175,936) [Very active] - [prompts.chat](/tools/f-prompts-chat.md) - Share, discover, and collect prompts from the community (★ 165,372) [Very active] _+ 2 more not listed._ ## README (excerpt) _Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._ ```text # 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 so that any complex AI jobs are enabled, regardless model training, deployment, or even federated learning. TensorOpera®Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale. In the MLOps layer of TensorOpera AI - **TensorOpera® Studio** embraces the power of Generative AI! Access popular open-source foundational models (e.g., LLMs), fine-tune them seamlessly with your specific data, and deploy them scalably and cost-effectively using the TensorOpera Launch on GPU marketplace. - **TensorOpera® Job Store** maintains a list of pre-built jobs for training, deployment, and federated learning. Developers are encouraged to run directly with customize datasets or models on cheaper GPUs. In the scheduler layer of TensorOpera AI - **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. It supports a range of compute-intensive jobs for generative AI and LLMs, such as large-scale training, serverless deployments, and vector DB searches. TensorOpera Launch also facilitates on-prem cluster management and deployment on private or hybrid clouds. In the Compute layer of TensorOpera AI - **TensorOpera® Deploy** is a model serving platform for high scalability and low latency. - **TensorOpera® Train** focuses on distributed training of large and foundational models. - **TensorOpera® Federate** is a federated learning platform backed by the most popular federated learning open-source library and the world’s first FLOps (federated learning Ops), offering on-device training on smartphones and cross-cloud GPU servers. - **TensorOpera® Open Source** is unified and scalable machine learning library for running these AI jobs anywhere at any scale. ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/fedml-ai-fedml`](/api/graphcanon/tools/fedml-ai-fedml) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_