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Description

Tekton is an adaptable and robust open-source framework designed for Kubernetes, enabling the development of continuous integration and delivery (CI/CD) systems. It facilitates building, testing, and deploying applications across various cloud environments or on-premises setups by simplifying the complexities of the underlying technologies. This framework allows teams to standardize their CI/CD processes while adhering to built-in best practices tailored for Kubernetes. Additionally, it supports operation in hybrid or multi-cloud environments, ensuring that organizations can achieve optimal flexibility in their deployments. With Tekton, developers can streamline workflows and enhance productivity across diverse infrastructures.

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 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform Yes 
Kubernetes Yes 
Firebase Yes 
GitLab Yes 
Google Cloud Run No 
Google Compute Engine No 
Google Kubernetes Engine (GKE) No 
Jenkins Yes 
Jenkins X Yes 
Knative Yes 
Tekton Yes 
ZenML Yes 

Integrations

Google Cloud Platform Yes 
Kubernetes Yes 
Firebase No 
GitLab No 
Google Cloud Run Yes 
Google Compute Engine Yes 
Google Kubernetes Engine (GKE) Yes 
Jenkins No 
Jenkins X No 
Knative No 
Tekton No 
ZenML No 

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 Yes 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Website

cloud.google.com/tekton

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Product Features

Application Development

Access Controls/Permissions Yes 
Code Assistance No 
Code Refactoring Yes 
Collaboration Tools Yes 
Compatibility Testing Yes 
Data Modeling No 
Debugging No 
Deployment Management Yes 
Graphical User Interface No 
Mobile Development Yes 
No-Code Yes 
Reporting/Analytics No 
Software Development Yes 
Source Control No 
Testing Management Yes 
Version Control No 
Web App Development Yes 

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 

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