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Compare DeepPy and NVIDIA Deep Learning GPU Training System (DIGITS) 
At a Glance
Market Segments
Small-Business (66.7% of reviews)
Small-Business (54.5% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
DeepPy
Star Rating
(12)4.1 out of 5
Market Segments
Small-Business (66.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DeepPyNVIDIA Deep Learning GPU Training System (DIGITS)
Star Rating
(23)4.5 out of 5
Market Segments
Small-Business (54.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about NVIDIA Deep Learning GPU Training System (DIGITS)Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DeepPy excels in ease of setup, with a score of 9.2, making it particularly appealing for small businesses looking to quickly implement deep learning solutions. In contrast, NVIDIA DIGITS, while user-friendly, does not have a specified score for setup, which may indicate a slightly more complex installation process.
- Reviewers mention that DeepPy has a strong focus on model optimization and scalability, which is crucial for businesses that need to adapt their models as data grows. NVIDIA DIGITS, however, is noted for its robust deployment capabilities, allowing users to easily integrate models into production environments.
- G2 users highlight that DeepPy offers superior data preprocessing features, which streamline the preparation of datasets for training. On the other hand, users on G2 report that NVIDIA DIGITS shines in its advanced visualization tools, providing clear insights into model performance and training progress.
- Users say that DeepPy's documentation and support are adequate, with a quality of support rating of 7.0, but they feel it could be improved. Conversely, NVIDIA DIGITS has a higher support rating of 7.8, indicating a more reliable support system for users needing assistance.
- Reviewers mention that DeepPy's customizability is a significant advantage, allowing users to tailor the software to their specific needs. In contrast, NVIDIA DIGITS is praised for its deep learning capabilities, particularly in transfer learning, which can save time and resources when training models.
- Users report that while both products cater to small businesses, NVIDIA DIGITS has a slightly larger market presence, with 54.5% of reviews coming from this segment, compared to DeepPy's 66.7%. This suggests that NVIDIA DIGITS may have broader appeal or recognition in the industry.
Pricing
Entry-Level Pricing
DeepPy
No pricing availableNVIDIA Deep Learning GPU Training System (DIGITS)
No pricing availableFree Trial
DeepPy
No trial information availableNVIDIA Deep Learning GPU Training System (DIGITS)
No trial information availableRatings
Meets Requirements
7.5
12
8.1
12
Ease of Use
8.3
12
8.3
12
Ease of Setup
9.2
10
Not enough data
Ease of Admin
8.0
10
Not enough data
Quality of Support
7.0
11
7.8
12
Has the product been a good partner in doing business?
7.4
9
Not enough data
Product Direction (% positive)
7.9
11
4.2
8
Features by Category
Recognition Type
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Facial Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Labeling
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
DeepPy and NVIDIA Deep Learning GPU Training System (DIGITS) are categorized as Image Recognition and Artificial Neural Network
Unique Categories
DeepPy has no unique categories
NVIDIA Deep Learning GPU Training System (DIGITS) is categorized as AWS Marketplace
Reviews
Reviewers' Company Size
DeepPy
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
NVIDIA Deep Learning GPU Training System (DIGITS)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
58.3%
Telecommunications
8.3%
Information Services
8.3%
Higher Education
8.3%
Gambling & Casinos
8.3%
Other
8.3%
Computer Software
40.9%
Semiconductors
9.1%
Computer Hardware
9.1%
Research
4.5%
Insurance
4.5%
Other
31.8%
Discussions
DeepPy has no discussions with answers
NVIDIA Deep Learning GPU Training System (DIGITS) has no discussions with answers
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