# NVIDIA/DIGITS

Deep Learning GPU Training System

Repository: https://github.com/NVIDIA/DIGITS
Canonical: https://ross.abutalabs.com/products/digits
Homepage: https://developer.nvidia.com/digits
Language: HTML
License: BSD-3-Clause
License Family: permissive
Topics: deep-learning, machine-learning, gpu, caffe, torch
Archived: true
Last push: 2025-01-07T04:34:44+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4187, "days_push": 603, "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 4177, forks 1364 (observed 2026-08-28T04:08:38.284463+00:00)

## What it is
DIGITS is a web application for training deep learning models on GPUs, supporting frameworks like Caffe, Torch, and TensorFlow with a browser UI and REST API. NVIDIA has discontinued it, recommending TAO for vision AI work instead.

## Use cases
- train deep learning models on gpu through a web ui
- train image classification networks with caffe
- fine-tune a pretrained model
- train an object detection network
- create datasets from s3 for training
- classify images with a trained model via rest api

## When to choose
- you need a browser-based interface for GPU model training with Caffe or Torch
- you are maintaining a legacy DIGITS deployment or following an old tutorial

## When to avoid
- you are starting a new vision AI project - NVIDIA recommends TAO instead
- you need bug fixes, new features, or support - the project is no longer maintained
- you need modern framework support beyond Caffe, Torch, or legacy TensorFlow

## Facets
- artifact type: application
- maturity: abandoned
- function: deep-learning, machine-learning, gpu-computing, image-processing, http-server
- domain: deep-learning, machine-learning, computer-vision, gpu-computing
- platform: -
- tags: caffe, torch, tensorflow, model-training, web-ui, nvidia, discontinued, rest-api, linux, docker, web-server, gpu

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:38.284463+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 2026-08-29T18:22:41.140508+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/DIGITS (fetched 2026-08-28T04:08:38.284463+00:00, sha 8c7873990601)
  - homepage: https://developer.nvidia.com/digits (fetched 2026-08-29T09:13:16.476332+00:00, sha 5bd94ed83708)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-policy?deeplink=visiting-our-website (fetched 2026-08-29T09:13:16.489998+00:00, sha 19a916245f53)
  - site_page: https://build.nvidia.com/openshell?ncid=pa-srch-goog-984177 (fetched 2026-08-29T09:13:16.485827+00:00, sha 9cbfedbbeb02)
  - site_page: https://forums.developer.nvidia.com/t/dgx-spark-gb10-faq/347344 (fetched 2026-08-29T09:13:16.487812+00:00, sha 8773677c22da)
- Data as of 2026-08-30T08:39:29.467469+00:00.