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What is sloppy.io?

The emergence of containers in the software industry has transformed how applications are developed and deployed, driven by several compelling factors. They play a pivotal role in DevOps methodologies and deployment workflows, providing numerous benefits for software developers. In contrast to Virtual Machines, containers are more lightweight, offer rapid deployment, and can be easily scaled to meet demand. Docker stands out as an ideal choice for various businesses, products, and agile development initiatives. Although Kubernetes provides robust orchestration features, it often presents a challenging learning curve for users. Thankfully, sloppy.io alleviates this challenge by taking care of essential elements such as overlay networks, storage solutions, and ingress management. We manage the infrastructure required to run your Docker containers, guaranteeing secure connections to your end users while efficiently handling your data storage needs. With our user-friendly web interface, command-line tools, and API, you can smoothly deploy and manage your projects. Furthermore, our dedicated support chat connects you with skilled professionals in software engineering and operations, who are always available to help with any issues or questions that may arise. This comprehensive level of assistance allows you to concentrate on development, freeing you from the burdens of infrastructure management and enabling you to innovate more effectively.

What is AWS Deep Learning Containers?

Deep Learning Containers are specialized Docker images that come pre-loaded and validated with the latest versions of popular deep learning frameworks. These containers enable the swift establishment of customized machine learning environments, thus removing the necessity to build and refine environments from scratch. By leveraging these pre-configured and rigorously tested Docker images, users can set up deep learning environments in a matter of minutes. In addition, they allow for the seamless development of tailored machine learning workflows for various tasks such as training, validation, and deployment, integrating effortlessly with platforms like Amazon SageMaker, Amazon EKS, and Amazon ECS. This simplification of the process significantly boosts both productivity and efficiency for data scientists and developers, ultimately fostering a more innovative atmosphere in the field of machine learning. As a result, teams can focus more on research and development instead of getting bogged down by environment setup.

Media

No images available

Media

Integrations Supported

AWS Marketplace
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EKS
Amazon Elastic Container Registry (ECR)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Docker

Integrations Supported

AWS Marketplace
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EKS
Amazon Elastic Container Registry (ECR)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Docker

API Availability

Has API

API Availability

Has API

Pricing Information

€19 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

sloppy.io

Company Location

Germany

Company Website

sloppy.io

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/containers/

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

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