# NVIDIA/tensorflow

An Open Source Machine Learning Framework for Everyone

Repository: https://github.com/NVIDIA/tensorflow
Canonical: https://ross.abutalabs.com/products/nvidia-tensorflow
Homepage: https://developer.nvidia.com/deep-learning-frameworks
Language: C++
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2025-07-31T20:55:28+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 34, release rhythm 8, longevity 100
- inputs: {"age_days": 2303, "days_push": 398, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1149, forks 171 (observed 2026-08-28T04:03:46.260677+00:00)

## What it is
NVIDIA's fork of TensorFlow 1.15 providing GPU support for newer NVIDIA hardware and CUDA libraries after Google stopped maintaining the TF 1.x branch. The project was deprecated on 07/31/2025 and is no longer maintained; NVIDIA recommends JAX Toolbox for new projects.

## Use cases
- run TensorFlow 1.x on modern NVIDIA GPUs
- train legacy TensorFlow 1.15 models with CUDA support
- maintain an existing TF 1.x codebase on new hardware
- install nvidia-tensorflow wheels via pip
- build TensorFlow 1.x from source with CUDA toolkit

## When to choose
- you are locked into a legacy TensorFlow 1.15 codebase and need GPU support on newer NVIDIA hardware
- you need API compatibility with upstream TensorFlow 1.15

## When to avoid
- starting any new machine learning project
- you can migrate to TensorFlow 2.x, PyTorch, or JAX
- you need maintained software with ongoing support

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, gpu-computing
- domain: machine-learning, deep-learning, gpu-computing
- platform: python
- tags: tensorflow, nvidia, cuda, deprecated, fork, tensorflow-1x, linux, gpu, docker

## Member repositories
- NVIDIA/tensorflow (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.260677+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:43.070744+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/tensorflow (fetched 2026-08-28T04:03:46.260677+00:00, sha 46e072214d7e)
  - homepage: https://developer.nvidia.com/deep-learning-frameworks (fetched 2026-08-29T12:38:33.312780+00:00, sha 278eaa8f48ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.