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What is PartyRock?

PartyRock is a cutting-edge platform that empowers users to create AI-driven applications within a vibrant environment backed by Amazon Bedrock. This interactive space provides a swift and enjoyable entry point into the world of generative AI. Launched by Amazon Web Services (AWS) in November 2023, PartyRock is designed for individuals of varying skill levels, allowing them to create applications powered by generative AI without needing any coding expertise. Users can easily express their application concepts to develop a diverse array of tools, spanning from simple text generators to sophisticated productivity applications that utilize a variety of AI functionalities. Since its inception, the platform has witnessed the creation of over 500,000 applications by users worldwide. Operating as a creative playground, PartyRock leverages Amazon Bedrock, an extensive service that provides access to essential AI models. Furthermore, it features a web-based interface that eliminates the need for an AWS account, enabling users to log in with their existing social media credentials. Additionally, users can explore a vast selection of tens of thousands of published applications, categorized by their unique functionalities, which significantly enhances their creative options. This makes PartyRock an exhilarating and approachable choice for anyone eager to delve into the vast possibilities offered by generative AI. With such a user-friendly design, it encourages collaboration and innovation among aspiring creators.

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.

Media

Media

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
AWS Glue
Amazon DataZone
Amazon EMR
Amazon Q Developer
Amazon Redshift
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Edge
Amazon SageMaker Feature Store
Amazon SageMaker Ground Truth
Amazon SageMaker JumpStart
Cohere
LightOn
Llama
PyTorch
SQL

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
AWS Glue
Amazon DataZone
Amazon EMR
Amazon Q Developer
Amazon Redshift
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Edge
Amazon SageMaker Feature Store
Amazon SageMaker Ground Truth
Amazon SageMaker JumpStart
Cohere
LightOn
Llama
PyTorch
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

partyrock.aws/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

Data Science

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

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