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Details

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Arrikto Main Features

• Affordable
  It costs 3.5 times less than similar cloud storage with the same capacity.
• Fast speed
  It is 8 times faster than the best cloud storage options.
• Built for AI
  It is made specifically for AI needs, with fast data handling for AI tasks.
• Hybrid-native
  Works across different types of storage in hybrid environments.
• Software-only
  No changes are needed to existing systems or cloud services to use it.
• New Linux APIs
  Uses new features in Linux to improve storage performance and compatibility.
• P2P federation
  Includes a special peer-to-peer system to share data efficiently across sites.
• Storage for AI
  It is the easiest and fastest way to share and load models and data on Kubernetes.
• Kubernetes-native
  Designed from scratch to work with Kubernetes, a system for managing apps.
• Missing storage layer
  It provides the missing data management layer for AI platforms.
• NVMe + Object architecture
  Combines local NVMe storage and object storage for better data management.

Arrikto Benefits

• Secure Data Access
  The SaaS allows you to control who can access data, keeping it safe and private.
• Portable Environment
  You can set up a consistent Kubeflow environment on any computer or cloud, which makes it flexible to use.
• End-to-End Compliance
  It ensures that your environment and MLOps pipelines can be reproduced completely, which is important for meeting standards.
• Reproducible Pipelines
  You can quickly roll back to any step in the pipeline, making it easier to fix problems and work together.
• Automated ML Operations
  Data scientists can easily create production-ready ML pipelines, which simplifies their work.
• Faster Model Deployment
  You can deploy models in hours instead of weeks, which saves time and helps get products to market quickly.
• Efficient Data Management
  The SaaS is 100 times more efficient at managing data, making it easier to handle large amounts of information.

Who should use Arrikto?

• Students
  They can learn about MLOps and Kubeflow through workshops and tutorials.
• Developers
  They can create production-ready ML pipelines without much hassle.
• IT Managers
  They can manage machine learning applications with less complexity and more security.
• Data Scientists
  They can build and deploy machine learning models faster and more easily.
• Business Leaders
  They can bring machine learning models to market quickly, helping their business grow.

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