AWS Deep Learning Containers vs. Canonical OpenStack
A side-by-side comparison based on G2 review data.
| Metric | AWS Deep Learning Containers | Canonical OpenStack |
|---|---|---|
| Overall rating | 4.6 | 4.2 |
| Review count | 22 | 14 |
| Ease of use | 9.0 | 8.4 |
| Ease of setup | 8.8 | 8.6 |
| Quality of support | 8.8 | 6.3 |
| Meets requirements | 9.2 | 8.1 |
| NPS | 81.818182 | 42.857143 |
| Small Business | 50.0% | 57.1% |
| Mid-Market | 40.9% | 7.1% |
| Enterprise | 9.1% | 35.7% |
| Total page views | 92 | 44 |
| Total LLM citations | 99 | 32 |
AWS Deep Learning Containers
AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning (ML) environments quickly by letting you skip the complicated process of building and optimizing your environments from scratch.
Canonical OpenStack
Canonical’s OpenStack on Ubuntu gives you the flexibility to place your OpenStack services exactly where you want them, while sharing all the operational code with a large community.
- Cost-Effective
- Setup Ease
- Ease of Use
- Security
- Cost Saving
- User Interface