Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
With Container Registry, your team has the ability to oversee Docker images, conduct vulnerability assessments, and implement precise access controls for resource management, all from a single platform. The integration with existing CI/CD systems enables you to set up fully automated Docker pipelines, ensuring that information flows without any delays. Within just a few minutes, you can access private and secure Docker image storage on the Google Cloud Platform. You have the power to control who can access, view, or download images, ensuring that sensitive data remains protected. Experience consistent uptime on a secure infrastructure, backed by Google’s robust security measures. As you commit code to Cloud Source Repositories, GitHub, or Bitbucket, images can be built and pushed automatically to the private registry. Additionally, you can easily configure CI/CD pipelines with Cloud Build integration or deploy applications directly to platforms such as Google Kubernetes Engine, App Engine, Cloud Functions, or Firebase. Containers can be built automatically in response to code changes or tagged updates to a repository. Furthermore, you can search through previous builds using the user interface, and access detailed information about each build, including triggers, sources, steps taken, and logs generated. This comprehensive approach makes managing your Docker images simpler and more efficient than ever.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Cloud Platform
Yes
Aserto
Yes
CodeShip
Yes
Codefresh
Yes
Docker
Yes
Google Cloud Artifact Registry
Yes
Google Cloud Run
No
Google Compute Engine
No
Google Kubernetes Engine (GKE)
No
JFrog Pipelines
Yes
Integrations
Google Cloud Platform
Yes
Aserto
No
CodeShip
No
Codefresh
No
Docker
No
Google Cloud Artifact Registry
No
Google Cloud Run
Yes
Google Compute Engine
Yes
Google Kubernetes Engine (GKE)
Yes
JFrog Pipelines
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/container-registry/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/ai-platform/deep-learning-containers
Product Features
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