PyTorch on AWS vs. VMware vSphere
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 PyTorch on AWS | Score10 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 |
 VMware vSphere | Score8.4 out of 10 | N/A | An enterprise workload platform, vSphere is used to improve the performance for a data center. It is used to boost operational efficiency, supercharge workload performance, and accelerate innovation. | $995 per year |
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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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| PyTorch on AWS | VMware vSphere | |
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| Likelihood to Recommend | - | 7.0 |
| Likelihood to Renew | - | 7.0 |
| Usability | - | 8.0 |
| Support Rating | - | 8.0 |
| Implementation Rating | - | 9.0 |
| Contract Terms and Pricing Model | - | 8.4 |
| Professional Services | - | 9.7 |