IBM Power Virtual Server vs. PyTorch on AWS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Power Virtual Server
Score 7.3 out of 10
N/A
IBM presents their Power Systems Virtual Server as a scalable, cost-effective way to run IBM AIX, IBM i and Linux workloads​.N/A
PyTorch on AWS
Score 10.0 out of 10
N/A
PyTorch is an open source deep learning framework. PyTorch on AWS using Amazon SageMaker presents a fully managed machine learning service used to build, train, and deploy PyTorch models at scale. For managing one's own infrastructure, one can use the AWS Deep Learning AMIs or the AWS Deep Learning Containers, which come pre-installed with PyTorch to deploy custom machine learning environments.N/A
Pricing
IBM Power Virtual ServerPyTorch on AWS
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
IBM Power Virtual ServerPyTorch on AWS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Power Virtual ServerPyTorch on AWS
Features
IBM Power Virtual ServerPyTorch on AWS
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
IBM Power Virtual Server
8.5
Ratings
6% above category average
PyTorch on AWS
-
Ratings
Service-level Agreement (SLA) uptime8.70 Ratings00 Ratings
Dynamic scaling8.30 Ratings00 Ratings
Elastic load balancing8.70 Ratings00 Ratings
Pre-configured templates8.50 Ratings00 Ratings
Monitoring tools8.30 Ratings00 Ratings
Pre-defined machine images8.50 Ratings00 Ratings
Operating system support8.50 Ratings00 Ratings
Security controls8.80 Ratings00 Ratings
Automation8.30 Ratings00 Ratings
User Ratings
IBM Power Virtual ServerPyTorch on AWS
Likelihood to Recommend
8.2
(0 ratings)
-
(0 ratings)
Likelihood to Renew
9.9
(0 ratings)
-
(0 ratings)
Usability
7.2
(0 ratings)
-
(0 ratings)
Availability
7.0
(0 ratings)
-
(0 ratings)
Performance
8.0
(0 ratings)
-
(0 ratings)
Support Rating
8.1
(0 ratings)
-
(0 ratings)
Implementation Rating
7.0
(0 ratings)
-
(0 ratings)
Configurability
9.0
(0 ratings)
-
(0 ratings)
Ease of integration
8.0
(0 ratings)
-
(0 ratings)
Product Scalability
7.0
(0 ratings)
-
(0 ratings)
Vendor post-sale
8.0
(0 ratings)
-
(0 ratings)
Vendor pre-sale
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM Power Virtual ServerPyTorch on AWS
Likelihood to Recommend
Due to its reliability, it is well-suited for mission-critical applications. It is also well suited for running multiple applications on a single server and fully utilizing the server's full capacity. However, it is not well suited for servers that require dedicated IO resources.
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Pros
  • It is good in managing our documents in a precise manner.
  • It is a comprehensive tool and supports other languages like JAVA and Python and it is useful for us.
  • It is quite a valuable tool available at a reasonable price in the market and it is a scalable tool.
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Cons
  • The software appears to be geared for a no-programming approach, which implies that making changes is more difficult.
  • The user base is small making it monotonous and difficult to come up with new methods.
  • The number of rankings is not as large as competitors.
  • The admin end is poorly designed, as they are unable to receive and respond to client feedback.
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Likelihood to Renew
At the moment we are 100% satisfied with the performance and our support team is well used to the process involved. So unless we have some major issues in adopting, we are sure to be with IBM itself.
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Usability
I would rate IBM Power Virtual Server’s overall usability as an 8 out of 10. The platform offers a solid interface and intuitive dashboard, making it relatively easy for users with cloud experience to navigate. Its scalability and flexibility are strong points. However, the learning curve for new users can be steep, especially when dealing with complex integrations or configurations. While documentation and support are extensive, some users may find the setup process challenging. Overall, it’s highly functional but could be streamlined further for beginners.
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Reliability and Availability
Very easy to use.
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Performance
Easy to use.
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Support Rating
As with most IBM products the ongoing support for IBM Power Virtual Server is solid and consistent. IBM provides a clear roadmap for receiving support of their products. Both voice and online response is offered. It is obvious that IBM has the internal systems and culture to maintain support functions. This starts from the initial support call to the problem analysis and continues through the problem resolution. Documentation and communication are consistent within this process.
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Implementation Rating
It is economic.
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Alternatives Considered
There were different factors which were involved in terms of evaluating IBM as a preferred choice over other offering because of performance and reliability in terms of high performance computing and overall enterprise great feature in terms of critical application which outperforms or maybe beat any time other offerings like AWS system manager data availability is one more in terms of disaster recovery solution and high availability feature the kind of offering IBM provide was way more than in terms of other fujitsu server.
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Scalability
I would rate IBM Cognos Analytics’ scalability as a 9 out of 10. The platform is highly capable of handling large volumes of data and supporting thousands of users with ease. Its architecture is designed for high performance, though it may require fine-tuning for extremely complex data environments to maintain optimal performance.
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Return on Investment
  • We have had a return on investment of 30%.
  • There have also been 80% fewer application crashes due to a lack of resources that previously ran on the X86 platform.
  • Administration management has been simplified and staff can dedicate themselves to the development of applications, instead of providing support to users when the applications do not respond efficiently, this made staff 45% more productive.
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ScreenShots