Amazon Elastic Inference vs. OutSystems
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 Amazon Elastic Inference | N/A | N/A | Amazon Elastic Inference allows users to attach just the right amount of GPU-powered inference acceleration to any Amazon EC2 instance, Amazon SageMaker instance, or ECS task. Users pay for the accelerator hours used. It is designed to be used with AWS’s enhanced versions of TensorFlow Serving, Apache MXNet and PyTorch, which automatically detect the presence of inference accelerators, and optimally distribute the model operations between the accelerator’s GPU and the instance’s CPU. | N/A |
 OutSystems | Score7.3 out of 10 | N/A | The OutSystems Platform is a Platform-as-a-Service solution for rapid delivery of responsive web and mobile applications. It includes functionalities required to develop, deploy, manage and change web and mobile applications. It is targeted at the delivery of enterprise applications that require integration with backend systems, complex business rules and logic, usable interfaces and flexibility to change. It can be deployed in the cloud, on-premises or in hybrid environments. | $4,000 per month |
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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| Amazon Elastic Inference | OutSystems | |
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| Likelihood to Recommend | - | 7.0 |
| Likelihood to Renew | - | 8.2 |
| Usability | - | 8.0 |
| Support Rating | - | 7.5 |
| In-Person Training | - | 9.1 |
| Online Training | - | 8.2 |
| Implementation Rating | - | 7.3 |