TensorFlow
MLOps & Infrastructure
Overview
TensorFlow is an open-source machine learning framework developed by Google for building, training, and deploying deep learning models. It provides a flexible ecosystem of tools, libraries, and community resources for ML development. TensorFlow supports production deployment with TF Serving, mobile with TF Lite, and web with TF.js. It is widely used for computer vision, NLP, and ML research.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, API / SDK
- Regions served
- Global
- Categories
- Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, API / SDK, Self-hosted / on-premises, Predictive / classical ML, Functional application
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- tensorflow.org
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.