Amazon Deep Learning AMIs vs Hostway (Ntirety)

Likelihood to Recommend

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.

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Employee in Information Technology

Education Management Company, 1001-5000 employees

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Well suited when your product is used by millions of customers and less appropriate where the application is based on performance or execution speed

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Engineer in Engineering

Computer Software Company, 10,001+ employees

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Pros

You can get several common packages including keras, pytorch and tensorflow setup within an environment ready to code on any AWS instance which saves time
Great for virtual applications that helps communicate between various pieces of software
Not need to worry about compatibility or any major aspects of setup e.g. GPU configuration

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Employee in Information Technology

Education Management Company, 1001-5000 employees

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Easy Maintenance
Highly Scalable
High Availability

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Engineer in Engineering

Computer Software Company, 10,001+ employees

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Cons

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

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Employee in Information Technology

Education Management Company, 1001-5000 employees

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Load Balancing across nodes
Single point Failure
Performance issues

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Engineer in Engineering

Computer Software Company, 10,001+ employees

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Alternatives Considered

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.

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Education Management Company, 1001-5000 employees

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For the ease of storing and managing Terabytes of data

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Engineer in Engineering

Computer Software Company, 10,001+ employees

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Return on Investment

It has made our Data Science/ Machine Learning Courses easier to manage/ need less human input therefore allowing us to increase the cohort size for this degree
It has unified a lot of technologies reducing the load on our IT team

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Employee in Information Technology

Education Management Company, 1001-5000 employees

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provided quick and easy solutions
Quick maintenance of our application
Negative impact is about performance handling issues and slowness of OS

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Engineer in Engineering

Computer Software Company, 10,001+ employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

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Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No