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What is ZEOS?

Meet Vizru ZEOS, an innovative platform that allows for the creation and implementation of extensive AI applications effortlessly, without any coding required. Its groundbreaking operating system guarantees stability, performance, and deployment of applications across multiple cloud platforms, establishing a new benchmark in the industry. With ZEOS managing every detail, you can deploy your applications and then set them aside, as its powerful framework oversees all governance and security measures. Experience the advantages of an advanced OS that continuously detects anomalies, monitors performance, and evaluates risks within your applications while ensuring swift regulatory compliance through its integrated feedback and self-learning features. Engineered for hyper-scalability, ZEOS accommodates limitless expansion, facilitating the deployment of large-scale data applications through its Elastic NO-SQL database. It enhances high-frequency inter-application processes using distributed workflow orchestration and guarantees instantaneous responses thanks to its in-memory data management capabilities. Additionally, ZEOS boasts a containerized architecture that provides exceptional portability, enabling dynamic scaling and effortless application transfers across various cloud environments, with integrated support for Docker and Kubernetes. Take a leap into the future of application management with Vizru ZEOS, where complexity transforms into simplicity and innovation becomes easily accessible. With ZEOS, your focus shifts from managing intricacies to unlocking new potentials in application development.

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

Integrations Supported

Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Kubernetes

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Vizru

Company Location

United States

Company Website

vizru.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

No-Code Development

Collaborative Development
Deployment Management
Drag & Drop
Integrations Management
Visual Modeling
Web / Mobile App Development
Workflow Management

Categories and Features

AI Cloud Providers

Not specified

AI Infrastructure

Not specified

Deep Learning

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

Machine Learning

Not specified

Neural Network

Not specified

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