Valohai Features
What are the features of Valohai?
Deployment
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability
- Language Flexibility
- Framework Flexibility
- Ease of Deployment
- Scalability
Management
- Monitoring
- Model Registry
- Cataloging
- Monitoring
Operations
- Metrics
- Infrastructure management
- Collaboration
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Filter for Features
Deployment
Language Flexibility | Allows users to input models built in a variety of languages. | Not enough data | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. This feature was mentioned in 13 Valohai reviews. | 94% (Based on 13 reviews) | |
Versioning | Based on 13 Valohai reviews. Records versioning as models are iterated upon. | 96% (Based on 13 reviews) | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. 12 reviewers of Valohai have provided feedback on this feature. | 92% (Based on 12 reviews) | |
Scalability | Based on 13 Valohai reviews. Offers a way to scale the use of machine learning models across an enterprise. | 94% (Based on 13 reviews) | |
Language Flexibility | Allows users to input models built in a variety of languages. This feature was mentioned in 12 Valohai reviews. | 96% (Based on 12 reviews) | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. 13 reviewers of Valohai have provided feedback on this feature. | 97% (Based on 13 reviews) | |
Versioning | Records versioning as models are iterated upon. This feature was mentioned in 12 Valohai reviews. | 97% (Based on 12 reviews) | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 12 Valohai reviews. | 93% (Based on 12 reviews) | |
Scalability | Offers a way to scale the use of machine learning models across an enterprise. 13 reviewers of Valohai have provided feedback on this feature. | 96% (Based on 13 reviews) |
Management
Cataloging | Records and organizes all machine learning models that have been deployed across the business. This feature was mentioned in 11 Valohai reviews. | 88% (Based on 11 reviews) | |
Monitoring | Based on 12 Valohai reviews. Tracks the performance and accuracy of machine learning models. | 96% (Based on 12 reviews) | |
Governing | Provisions users based on authorization to both deploy and iterate upon machine learning models. 10 reviewers of Valohai have provided feedback on this feature. | 90% (Based on 10 reviews) | |
Model Registry | Based on 12 Valohai reviews. Allows users to manage model artifacts and tracks which models are deployed in production. | 90% (Based on 12 reviews) | |
Cataloging | Records and organizes all machine learning models that have been deployed across the business. 12 reviewers of Valohai have provided feedback on this feature. | 89% (Based on 12 reviews) | |
Monitoring | Based on 12 Valohai reviews. Tracks the performance and accuracy of machine learning models. | 97% (Based on 12 reviews) | |
Governing | Provisions users based on authorization to both deploy and iterate upon machine learning models. This feature was mentioned in 11 Valohai reviews. | 89% (Based on 11 reviews) |
Operations
Metrics | Based on 13 Valohai reviews. Control model usage and performance in production | 91% (Based on 13 reviews) | |
Infrastructure management | Based on 13 Valohai reviews. Deploy mission-critical ML applications where and when you need them | 92% (Based on 13 reviews) | |
Collaboration | Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. 13 reviewers of Valohai have provided feedback on this feature. | 95% (Based on 13 reviews) |
