Amazon Deep Learning AMIs vs. Navisite Managed Infrastructure Services (NaviCloud)

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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Clarify before hand any additional charges for remote hand and arrangement/SLA for remote hand. Negotiate well on these terms as they tend to be more flexible around this. Clarify shipping and handling charges if any.

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

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• 24/7 monitoring
• Immediate notification in the event of failures
• Dedicated Senior DBA
• Dedicate Account rep

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• 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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• San Jose facility power outage caused damage to company's credibility, this should not occur again being 7x24 facility and backup generator
• Avoiding too many management changes will help create good connection with individuals for sustained harmony

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Price and facility equipment, location of the hosting facility factor into the decision to renew

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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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Navisite's rates were better and they seemed to have more SQL Server expertise. This was about 5 years ago and it may not be the case anymore

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

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• Cost savings by not having a full-time DBA on staff - saving of at least 50K a year
• Data team not on call 24/7
• Navisite team will try to fix issue if possible - e.g. shrink log files that have grown

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