Amazon Elastic Inference vs. InterSystems IRIS
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 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 |
 InterSystems IRIS | Score7.7 out of 10 | N/A | InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is is the next generation of InterSystems' data management software. It includes… | N/A |
| Amazon Elastic Inference | InterSystems IRIS | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| Amazon Elastic Inference | InterSystems IRIS | |
|---|---|---|
| Likelihood to Recommend | - | 7.4 |
| Likelihood to Renew | - | 8.2 |
| Usability | - | 8.2 |
| Support Rating | - | 7.4 |
| Implementation Rating | - | 8.2 |