Amazon Elastic Inference vs. IBM Watson Studio on Cloud Pak for Data
| 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 |
IBM Watson Studio | Score10 out of 10 | N/A | IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture. | N/A |
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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 | No setup fee | ||||||||||||||
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| Amazon Elastic Inference | IBM Watson Studio | |
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| Likelihood to Recommend | - | 8.0 |
| Likelihood to Renew | - | 8.2 |
| Usability | - | 9.6 |
| Availability | - | 8.2 |
| Performance | - | 8.2 |
| Support Rating | - | 8.2 |
| In-Person Training | - | 8.2 |
| Online Training | - | 8.2 |
| Implementation Rating | - | 7.3 |
| Product Scalability | - | 8.2 |
| Vendor post-sale | - | 7.3 |
| Vendor pre-sale | - | 8.2 |