← ← Back to all products
TensorFlow
Active
Frameworks Latest Version: 2.21.0 Latest Release: Mar 6, 2026
TensorFlow is Google's open-source machine learning platform. Only the latest minor receives patches; older minors are unsupported without fixed EOL dates. TensorFlow 2.21 supports Python 3.10-3.13 and GPU builds use CUDA 12.5 with cuDNN 9.3; 2.14 used CUDA 11.8.
Versions
10
Latest Version
2.21.0
Active Support
2
EOL
8
Lifecycle Timeline
Today ↓
2.21
2.21
2.20
2.20
2.19
2.19
2.18
2.18
2.17
2.17
2.16
2.16
2.15
2.15
2.14
2.14
2.13
2.13
2.12
2.12
Active SupportSecurity SupportEOL
Versions
| Release | Release Date | Active Support | EOL | Latest Version | LTS | Status |
|---|---|---|---|---|---|---|
| 2.21 | Mar 6, 2026 | Yes | No | 2.21.0 | No | Active |
| 2.20 | Aug 13, 2025 | Yes | Aug 13, 2026 | 2.20.0 | No | Active |
| 2.19 | Mar 12, 2025 | No | Yes | 2.19.1 | No | EOL |
| 2.18 | Oct 25, 2024 | No | Yes | 2.18.1 | No | EOL |
| 2.17 | Jul 11, 2024 | No | Yes | 2.17.1 | No | EOL |
| 2.16 | Mar 8, 2024 | No | Yes | 2.16.2 | No | EOL |
| 2.15 | Nov 13, 2023 | No | Yes | 2.15.1 | No | EOL |
| 2.14 | Sep 26, 2023 | No | Yes | 2.14.1 | No | EOL |
| 2.13 | Jul 6, 2023 | No | Yes | 2.13.1 | No | EOL |
| 2.12 | Mar 22, 2023 | No | Yes | 2.12.1 | No | EOL |
Frequently Asked Questions
Which versions of TensorFlow have reached end of life?
The following TensorFlow versions have reached end of life and no longer receive security updates: 2.19, 2.18, 2.17, 2.16, 2.15, 2.14, 2.13, 2.12. It is recommended to upgrade to a supported version.
Is it safe to continue using TensorFlow 2.19?
TensorFlow 2.19 has reached end of life and no longer receives security patches or bug fixes. Continuing to use it may expose your systems to known vulnerabilities. We strongly recommend upgrading to a supported version.
What is the latest version of TensorFlow?
The latest version of TensorFlow is 2.21.0, released in the 2.21 release cycle.
How many versions of TensorFlow are currently supported?
TensorFlow currently has 2 actively supported version(s): 2.21, 2.20.
When does TensorFlow 2.21 reach end of life?
TensorFlow 2.21 does not have a specific end-of-life date announced yet.
What should I do when TensorFlow reaches end of life?
When a TensorFlow version reaches end of life, you should: 1) Plan your migration to a supported version as soon as possible. 2) Review the release notes for breaking changes. 3) Test your applications thoroughly in a staging environment. 4) Update your dependencies to ensure compatibility with the new version.