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What is Mirantis Container Runtime?

The Mirantis Container Runtime (MCR), formerly recognized as Docker Engine Enterprise, is a powerful and secure container runtime crafted specifically for enterprise environments, enabling development teams to effectively create and oversee containers across both Linux and Windows systems while leveraging the well-known Docker CLI, Dockerfiles, and APIs crucial for their mission-critical applications. This solution integrates seamlessly with Docker-oriented workflows and toolchains, facilitating an effortless shift from development to production with releases that are thoroughly tested and validated across multiple operating systems, and includes extensive CVE patching and bug fixes to ensure consistent workload reliability. Additionally, MCR is designed with a strong focus on security, featuring FIPS 140-2 certified cryptographic modules, mandatory access controls like AppArmor and SELinux, and image signature verification, as well as supporting sandboxed runtimes such as Kata and gVisor, all of which contribute to the creation of trusted and compliant containers. By combining these advanced features, MCR emerges as a top contender for organizations aspiring to improve their container management practices while meeting rigorous security requirements. This comprehensive approach not only enhances operational efficiency but also instills confidence in the security and reliability of containerized applications.

What is Google Deep Learning Containers?

Speed up the progress of your deep learning initiative on Google Cloud by leveraging Deep Learning Containers, which allow you to rapidly prototype within a consistent and dependable setting for your AI projects that includes development, testing, and deployment stages. These Docker images come pre-optimized for high performance, are rigorously validated for compatibility, and are ready for immediate use with widely-used frameworks. Utilizing Deep Learning Containers guarantees a unified environment across the diverse services provided by Google Cloud, making it easy to scale in the cloud or shift from local infrastructures. Moreover, you can deploy your applications on various platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, offering you a range of choices to align with your project's specific requirements. This level of adaptability not only boosts your operational efficiency but also allows for swift adjustments to evolving project demands, ensuring that you remain ahead in the dynamic landscape of deep learning. In summary, adopting Deep Learning Containers can significantly streamline your workflow and enhance your overall productivity.

Media

Media

Integrations Supported

Kubernetes
AppArmor
Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Mirantis Secure Registry
OpenTelemetry
Swarm

Integrations Supported

Kubernetes
AppArmor
Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Mirantis Secure Registry
OpenTelemetry
Swarm

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mirantis

Date Founded

1999

Company Location

United States

Company Website

www.mirantis.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-platform/deep-learning-containers

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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