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
Oracle Cloud Infrastructure Container Registry is a managed Docker registry service that adheres to open standards, allowing for the secure storage and sharing of container images. Engineers can utilize the well-known Docker Command Line Interface (CLI) and API to efficiently push and pull Docker images. The Registry is designed to facilitate container lifecycles by integrating seamlessly with Container Engine for Kubernetes, Identity and Access Management (IAM), Visual Builder Studio, as well as various third-party development and DevOps tools. Users can manage Docker images and container repositories by employing familiar Docker CLI commands and the Docker HTTP API V2. With Oracle handling the operational aspects and updates of the service, developers are free to concentrate on creating and deploying their containerized applications. Built on a foundation of object storage, Container Registry guarantees data durability and high availability of service through automatic replication across different fault domains. Notably, Oracle does not impose separate fees for the service; users are only billed for the storage and network resources utilized, making it an economical choice for developers. This model allows for a streamlined experience in managing container images while ensuring robust performance and reliability.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Kubernetes
Yes
Docker
No
Google Cloud Platform
Yes
Google Cloud Run
Yes
Google Compute Engine
Yes
Google Kubernetes Engine (GKE)
Yes
Kasm Workspaces
No
Integrations
Kubernetes
Yes
Docker
Yes
Google Cloud Platform
No
Google Cloud Run
No
Google Compute Engine
No
Google Kubernetes Engine (GKE)
No
Kasm Workspaces
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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)
No
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
Yes
Live Training (Online)
No
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/cloud-native/container-registry/
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