NVIDIA Deep Learning GPU Training System (DIGITS) vs. Microsoft Cognitive Toolkit (Formerly CNTK)
A side-by-side comparison based on G2 review data.
| Metric | NVIDIA Deep Learning GPU Training System (DIGITS) | Microsoft Cognitive Toolkit (Formerly CNTK) |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 23 | 21 |
| Ease of use | 8.6 | 8.2 |
| Ease of setup | 8.2 | 8.6 |
| Quality of support | 8.1 | 8.2 |
| Meets requirements | 8.3 | 8.8 |
| NPS | 72.727273 | 38.095238 |
| Small Business | 52.2% | 28.6% |
| Mid-Market | 34.8% | 4.8% |
| Enterprise | 13.0% | 66.7% |
| Total page views | 146 | 101 |
| Total LLM citations | 126 | 50 |
NVIDIA Deep Learning GPU Training System (DIGITS)
NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.
Microsoft Cognitive Toolkit (Formerly CNTK)
Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already use.
- Workflow Efficiency