Modela
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About
Modela is a Kubernetes-native, no-code machine learning platform designed to automate the process of training, deploying, and scaling ML models. It extends Kubernetes with custom resources to automate each step of the ML process declaratively. It supports data ingestion from various sources, data validation, and analysis. Modela automates model training with AutoML, allowing parallel training across a Kubernetes cluster. It offers model evaluation and automation features like CI/CD pipelines for retraining models. Models can be deployed as microservices on Kubernetes, with features like canary deployments and drift detection. Key features include Kubernetes native integration, a no-code approach, AutoML, MLOps capabilities, security, and collaboration tools.
Platform
Task
Features
• mlops
• automl
• no code
• built for collaboration
• security and control
• kubernetes native
Pricing Plans
Premium
$59.00 / /mo• Data Products: Up to 5 products
• Data Preparation: Yes
• Data Visualization: Yes
• Data Validation: Yes
• Data Reporting: Yes
• Binary Classification: Yes
• Multi Classification: Yes
• Regression: Yes
• Forecasting: Yes
• Hyper Parameters Search: Yes Machine Learning PipelinesYes # Parallel Trainers Up to 5 trainers Inference Automatic DeploymentYes Automatic ScalingYes Model MonitoringYes Support Chat SuportYes 24x7 SupportYes On-call ConsultationNo
Full-Service
Unknown Price• Data Products: Unlimited products
• Data Preparation: Yes
• Data Visualization: Yes
• Data Validation: Yes
• Data Reporting: Yes
• Binary Classification: Yes
• Multi Classification: Yes
• Regression: Yes
• Forecasting: Yes
• Hyper Parameters Search: Yes Machine Learning PipelinesYes # Parallel Trainers Unlimited trainers Inference Automatic DeploymentYes Automatic ScalingYes Model MonitoringYes Support Chat SuportYes 24x7 SupportYes On-call ConsultationYes
Self-Service
Free Plan• Data Products: Up to 1 product
• Data Preparation: Yes
• Data Visualization: Yes
• Data Validation: Yes
• Data Reporting: Yes
• Binary Classification: Yes
• Multi Classification: Yes
• Regression: Yes
• Hyper Parameters Search: Yes
• Machine Learning Pipelines: Yes # Parallel Trainers Up to 1 trainer Inference Automatic DeploymentYes Automatic ScalingYes Model MonitoringYes Support Chat SuportYes 24x7 SupportNo On-call ConsultationNo
Job Opportunities
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