Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Accelerate the development of your deep learning project on Google Cloud: Utilize Deep Learning Containers to swiftly create prototypes within a reliable and uniform environment for your AI applications, encompassing development, testing, and deployment phases. These Docker images are pre-optimized for performance, thoroughly tested for compatibility, and designed for immediate deployment using popular frameworks. By employing Deep Learning Containers, you ensure a cohesive environment throughout the various services offered by Google Cloud, facilitating effortless scaling in the cloud or transitioning from on-premises setups. You also enjoy the versatility of deploying your applications on platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, giving you multiple options to best suit your project's needs. This flexibility not only enhances efficiency but also enables you to adapt quickly to changing project requirements.
Description
Introducing Vizru ZEOS, a revolutionary platform that enables the construction and deployment of comprehensive AI applications seamlessly, requiring no coding whatsoever. With its pioneering operating system, ZEOS ensures the stability, performance, and deployment of applications across various cloud environments, setting a new industry standard. Let ZEOS take charge of everything, allowing you to deploy your applications and forget about them, as its robust layer manages all aspects of governance and security. Benefit from an intelligent OS that persistently identifies anomalies, tracks performance, and assesses risk across your applications, all while facilitating rapid regulatory compliance through its built-in feedback and self-learning capabilities. Designed for hyper-scalability, ZEOS supports unlimited growth, enabling the deployment of extensive data applications using an Elastic NO-SQL database. It facilitates high-frequency cross-application processes through distributed workflow orchestration and guarantees real-time responses thanks to its in-memory data management features. Moreover, with its containerized architecture, ZEOS offers incredible portability, allowing dynamic scaling and seamless application transfers between different cloud environments with built-in support for Docker and Kubernetes. Embrace the future of application management with Vizru ZEOS, where complexity is simplified and innovation is at your fingertips.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Cloud Platform
Yes
Google Cloud Run
Yes
Google Compute Engine
Yes
Google Kubernetes Engine (GKE)
Yes
Kubernetes
Yes
Integrations
Google Cloud Platform
No
Google Cloud Run
No
Google Compute Engine
No
Google Kubernetes Engine (GKE)
No
Kubernetes
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/ai-platform/deep-learning-containers
Vendor Details
Company Name
Vizru
Country
United States
Website
vizru.com
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
Yes
Neural Network Modeling
Yes
Self-Learning
Yes
Visualization
Yes
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
No-Code Development
AI-Assisted Development
No
Business Process Automation
No
Collaborative Development
Yes
Data Aggregation and Publishing
No
Deployment Management
Yes
Drag & Drop
Yes
Integrations Management
Yes
Iteration Management
No
Performance Monitoring
No
Requirements Management
No
Templates
No
Visual Modeling
Yes
Web / Mobile App Development
Yes
Workflow Management
Yes