Amazon Deep Learning AMIs vs. Lumen Edge Private Cloud

Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.

Incentivized

CenturyLink Private Cloud is well suited for companies that are smaller and wouldn't have to undergo scaling for a longer time. Apart from that, it does well in almost all categories. It wouldn't actually be useful for bigger companies since the UI is a bit laggy sometimes and usually, it's not advisable for big companies.

Incentivized

• Setting up environment
• Support for different types of machines
• Perfect for Machine Learning / Deep Learning use cases
• Nvidia / Cuda / Conda support easily

Incentivized

• robust framework
• amazing customer support in case you're facing maintenance issues
• collaborative ability is off the charts

Incentivized

• Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
• It can be a bit confusing to switch between frameworks for novice users

Incentivized

• UI can be really improved, since it sometimes lags a lot
• Very few know about the product, so they should advertise a bit more
• There maybe scaling issues since it's a relatively smaller company compared to its competitors

Incentivized

Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.

Incentivized

It doesn't stack up that well against them, since these are big companies and have huge infrastructures and they provide smooth scaling features. However CenturyLink Private Cloud is a little concise and not many people know about it, so I feel like they should advertise more and try to improve their customer outreach.

Incentivized

• Saves a lot of Infra Costs
• Saves a lot of time in handling environment issues
• Easy to start a new instance

Incentivized

• We reduced our cloud hosting costs a lot after switching to CenturyLink Private Cloud
• Maintenance is very easy since there is documentation available for every part
• It had some issues with the UI but we can neglect those considering the pricing options they provide.

Incentivized