AWS Deep Learning Containers
22
Reviews
4.6
Star rating
#10
Rank in Other IT Infrastructure
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Key stats
—
82
Small Business
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 50.0% |
| Mid-Market | 40.9% |
| Enterprise | 9.1% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
Ease of Use9.0
Ease of Setup8.8
Quality of Support8.8
Meets Requirements9.2
What reviewers say
The usage is quite logical and output is reasonable
4.0
“In deep learning most time constraints are there so saving time with investing much time is good approach”
Working with AWS DLC significantly accelerates the ML deployment.
5.0
“Frequently updating trained images for different frameworks reduced ML time to production.”
Best for easily deploying coustom ml environments
4.5
“It is very easy to just skip through the difficult process of building and deploying the environment scratch and we can let easily deploy ML environments. It is better from others as we can just use it to have pre installed docker images.”