Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    827 Ratings
    Company Website
  • RunPod Reviews & Ratings
    205 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    11 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    992 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    1,918 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    23 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,939 Ratings
    Company Website
  • JSCAPE MFT Server Reviews & Ratings
    187 Ratings
    Company Website
  • Sage Intacct Reviews & Ratings
    7,935 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website

What is Amazon SageMaker Unified Studio?

Amazon SageMaker Unified Studio is an all-in-one platform for AI and machine learning development, combining data discovery, processing, and model creation in one secure and collaborative environment. It integrates services like Amazon EMR, Amazon SageMaker, and Amazon Bedrock, allowing users to quickly access data, process it using SQL or ETL tools, and build machine learning models. SageMaker Unified Studio also simplifies the creation of generative AI applications, with customizable AI models and rapid deployment capabilities. Designed for both technical and business teams, it helps organizations streamline workflows, enhance collaboration, and speed up AI adoption.

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

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Neuron
Amazon DataZone
Amazon EC2 G5 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EMR
Amazon Elastic Container Registry (ECR)
Amazon Elastic Container Service (Amazon ECS)
Amazon Q Developer
Amazon SageMaker Canvas
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon SageMaker Edge
Amazon SageMaker Feature Store
Amazon SageMaker Ground Truth
Hugging Face
Llama
SQL

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Neuron
Amazon DataZone
Amazon EC2 G5 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EMR
Amazon Elastic Container Registry (ECR)
Amazon Elastic Container Service (Amazon ECS)
Amazon Q Developer
Amazon SageMaker Canvas
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon SageMaker Edge
Amazon SageMaker Feature Store
Amazon SageMaker Ground Truth
Hugging Face
Llama
SQL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/unified-studio/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

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

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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

Popular Alternatives

Popular Alternatives