Skip to main content


TensorOpera Open Source library :

TensorOpera®Launch: a super launcher and scheduler for running any AI jobs in Any GPU Clouds or On-prem Cluster:

  • fedml/computing/scheduler -- TensorOpera®Launch: a unified launcher and scheduler for running any AI jobs across any GPU clouds and on-prem cluster.

TensorOpera®Deploy: model deployment:

  • fedml/serving -- TensorOpera®Deploy: scalable model serving and deployment
  • fedml/serving/scalellm - an efficient engine for scaling LLM in low-memory GPUs

TensorOpera®Train: model training and observability:

  • fedml/train -- training framework, especially for LLM and generative AIs
    • fedml/train/cross_cloud -- cross-cloud distributed training, a spotlight project for it is "UnitedLLM"
    • fedml/train/llm -- LLM training and fine-tuning
  • fedml/core/mlops -- training experimental tracking: logging and observability

TensorOpera®Federate: federated learning and analytics framework:

  • fedml/cross_device -- cross-device federated learning (FL), tailored for the smartphone-based FL
  • fedml/cross_silo -- cross-silo federated learning
  • fedml/simulation -- simulator for federated learning
  • fedml/fa -- federated analytics

fedml/api -- TensorOpera public Python APIs: fedml.api., including APIs for launch, training, deployment, and federated learning. Note: at this stage, it doesn't cover all TensorOpera APIs; some others are in fedml.core. and fedml.*.

fedml/cli -- command line interface (CLIs) implementation for TensorOpera library

fedml/core -- core modules shared by all training, deployment, and federated learning frameworks, including features related to communication backend, security/privacy, design pattern, logging, etc.

fedml/mlops -- MLOps (TensorOpera AI) related features

fedml/device -- GPU placement and management

fedml/data -- prebuilt data loaders

fedml/model -- prebuilt models

fedml/ml -- integrating with many other general machine learning frameworks

fedml/utils -- common utilities

TensorOpera Spotlight Projects:

  • FedML/python/spotlight_prj/UnitedLLM -- a cross-cloud distributed training framework for large-scale language models (LLMs)
  • FedML/python/spotlight_prj/FedLLM -- a federated learning framework for LLMs

and more...

TensorOpera Examples (Prebuilt Jobs in Jobs Store):

  • FedML/python/examples -- examples for training, deployment, and federated learning
    • FedML/python/examples/launch -- examples for TensorOpera®Launch
    • FedML/python/examples/serving -- examples for TensorOpera®Deploy
    • FedML/python/examples/train -- examples for TensorOpera®Train
    • FedML/python/examples/cross_cloud -- examples for TensorOpera®Train cross-cloud distributed training
    • FedML/python/examples/federate/prebuilt_jobs -- examples for federated learning prebuilt jobs (FedCV, FedNLP, FedGraphNN, Healthcare, etc.)
    • FedML/python/examples/federate/cross_silo -- examples for cross-silo federated learning
    • FedML/python/examples/federate/cross_device -- examples for cross-device federated learning
    • FedML/python/examples/federate/simulation -- examples for federated learning simulation
    • FedML/python/examples/federate/security -- examples for TensorOpera®Federate security related features
    • FedML/python/examples/federate/privacy -- examples for TensorOpera®Federate privacy related features
    • FedML/python/examples/federate/federated_analytics -- examples for TensorOpera®Federate federated analytics (FA)