Iguazio
Creates, deploys, and manages your AI. It's a single spot for data, models, and real-time AI apps.
Creates, deploys, and manages your AI. It's a single spot for data, models, and real-time AI apps.
Imagine a toolbox for AI. Iguazio helps you manage data, build models, and launch AI apps. Monitor performance and keep everything compliant. Great for big projects needing speed and scale across different cloud setups. It helps ensure that deploying, monitoring, and improving AI models is easy.
Data Management:
Provides robust capabilities for data ingestion, transformation, cleansing, versioning, tagging, labeling, and indexing.
Integrated Feature Store
Offers a centralized catalog for feature engineering and sharing, supporting both offline and real-time data, with built-in automation for statistics and drift detection.
Development and CI/CD
Supports high-quality model fine-tuning, with integration for continuous integration and continuous delivery (CI/CD) pipelines for AI/ML models.
Real-Time Application Pipelines:
Enables the deployment of models into live applications, handling complex requests and validations in real-time.
Monitoring and LiveOps:
Continuously monitors AI applications for performance improvement, regulation compliance, bias mitigation, and data quality management.
Multi-Environment Deployment:
Allows users to deploy AI applications in diverse environments, including AWS, Azure, Google Cloud, on-premises, and edge computing.
It's a place to manage and share features for AI models. It handles real-time and batch data, creates stats automatically, and spots data drift.
Yes, Iguazio works with tools such as MongoDB and NetApp, so it can adapt to various business requirements.
Yes, it is! Iguazio uses Kubernetes to manage clusters and Nuclio to help serverless functions automatically grow as needed.
Iguazio provides documentation, tutorials, and personalized enterprise-level support to meet your particular needs.
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