Amazon Deep Learning AMIs vs. IBM Cloud File Storage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Deep Learning AMIs
Score 8.7 out of 10
N/A
AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new…N/A
IBM Cloud File Storage
Score 8.6 out of 10
N/A
IBM Cloud provides a File Storage service allows the user to deploy and customize flash-backed NFS-based file storage from 25 GB to 12,000 GB capacity with up to 48,000 IOPS.N/A
Pricing
Amazon Deep Learning AMIsIBM Cloud File Storage
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon Deep Learning AMIsIBM Cloud File Storage
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Deep Learning AMIsIBM Cloud File Storage
Top Pros
Top Cons
Features
Amazon Deep Learning AMIsIBM Cloud File Storage
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Deep Learning AMIs
-
Ratings
IBM Cloud File Storage
8.9
39 Ratings
9% above category average
Service-level Agreement (SLA) uptime00 Ratings9.837 Ratings
Dynamic scaling00 Ratings9.036 Ratings
Elastic load balancing00 Ratings9.135 Ratings
Pre-configured templates00 Ratings8.631 Ratings
Monitoring tools00 Ratings8.237 Ratings
Pre-defined machine images00 Ratings8.833 Ratings
Operating system support00 Ratings9.736 Ratings
Security controls00 Ratings9.837 Ratings
Automation00 Ratings7.430 Ratings
Best Alternatives
Amazon Deep Learning AMIsIBM Cloud File Storage
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Akamai Connected Cloud
Akamai Connected Cloud
Score 8.9 out of 10
Medium-sized Companies
Posit
Posit
Score 9.3 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.4 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.4 out of 10
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User Ratings
Amazon Deep Learning AMIsIBM Cloud File Storage
Likelihood to Recommend
10.0
(2 ratings)
9.0
(40 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(1 ratings)
Support Rating
-
(0 ratings)
10.0
(6 ratings)
Implementation Rating
-
(0 ratings)
9.0
(2 ratings)
User Testimonials
Amazon Deep Learning AMIsIBM Cloud File Storage
Likelihood to Recommend
Amazon AWS
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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IBM
well suited: Enterprise File Sharing and Collaboration: Scenario: our organization has teams working on projects across different geographical locations, and they need a centralized and easily accessible file storage solution. IBM Cloud File Storage can facilitate seamless file sharing and collaboration among team members. less appropriate Highly Transactional Databases: Scenario: Your organization has highly transactional and I/O-intensive database workloads that require low-latency access to data. In such cases, block storage or specialized database services might be more appropriate than file storage.
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Pros
Amazon AWS
  • 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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IBM
  • Simple file system sharing
  • Lots of storage space (up to 12 TB)
  • Choice of performance (up to 10 IOPS/GB)
  • Simple interface to order more storage
  • Quick interface to allow more servers to share the file store
  • Security - only allows access from specified server(s)
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Cons
Amazon AWS
  • 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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IBM
  • We have sometimes experienced some outages and hope IBM will fix this soon.
  • Initial trainings are required for the teams to work and do the setup.
  • Support documentation from IBM needs improvement with [the] inclusion of more detailed steps and video tutorials for [a] better understanding of the engineers.
  • The billing process is very complex and you may have to incur additional overhead. Need a simpler approach and clarity on this aspect.
  • Support response from the IBM team is very slow and lacks information.
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Likelihood to Renew
Amazon AWS
No answers on this topic
IBM
IBM Cloud File Storage is a valuable tool in the arsenal of any small business. It's flexibility combined with its ease of use ensure that there is low operational overhead, combined with a solid return on investment. It's role based access control features combined with sharing capabilities make it a significant win for any business.
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Support Rating
Amazon AWS
No answers on this topic
IBM
The IBM team provides effective support for all the cloud operations. They tracks operations and database functionalities closely to enhance reliable operations and remove inefficiencies that affect work processes. The support team has prepared video tutorials and manuals that guides our members on how to work with the database systems effectively.
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Implementation Rating
Amazon AWS
No answers on this topic
IBM
The IBM Professional services provided the re4quired infrastructure for getting the best out of this tool. It offered excellent guidelines that enhanced efficient integrations. The organization was pleased with the setup process that was completed quickly than expected. The application has been operation effectively after deployment. We have continued to get support from the IBM support team when there are challenges.
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Alternatives Considered
Amazon AWS
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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IBM
IBM Cloud File Storage, unlike other similar products, offers excellent Cloud data security and its overall data management quality on IBM Cloud File Storage is incredible and its data integration support is perfect because it allows big data migration across many Cloud platforms for effective data analytics generation and data visualization tools are great.
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Return on Investment
Amazon AWS
  • 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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IBM
  • Compared with company datacenter require less maintenance time with an incomparable high availability and business continuity features
  • The possibility to move snapshots on other data centers let this solution super scalable worldwide
  • The price for gb let us pay what we need without a pre commissioned storage buy
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ScreenShots