DIGITS
Web application for training deep learning models on GPUs.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is DIGITS?
The Deep Learning GPU Training System (DIGITS) is a web-based tool that simplifies the process of training deep learning models using NVIDIA GPUs. It provides an intuitive interface to manage datasets, train models, and visualize results without extensive coding knowledge.
Key differentiator
“DIGITS stands out with its user-friendly web interface for managing deep learning tasks, making it accessible to users who may not have extensive programming experience but want to leverage GPU acceleration.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The official documentation is sparse, and the community around DIGITS is relatively small compared to other deep learning platforms like TensorFlow or PyTorch.
DIGITS heavily relies on NVIDIA's CUDA architecture for GPU acceleration, making it less flexible for users who prefer or require non-NVIDIA hardware solutions.
Setting up DIGITS requires a deep understanding of both the underlying Python environment and NVIDIA's CUDA toolkit, which can be time-consuming and error-prone for new users.
DIGITS primarily supports older versions of popular deep learning libraries like Caffe. It does not natively integrate with more recent frameworks such as TensorFlow or PyTorch, limiting its utility in current research and development environments.
Fit analysis
Who is it for?
✓ Best for
Teams needing a user-friendly interface to manage deep learning projects without extensive coding knowledge.
Individual developers who want to leverage GPU acceleration for training deep learning models.
✕ Not a fit for
Projects requiring real-time model inference or deployment, as DIGITS focuses on training and visualization.
Developers preferring command-line interfaces over web-based tools.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with DIGITS
Step-by-step setup guide with code examples and common gotchas.