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What is Modelbit?

Continue to follow your regular practices while using Jupyter Notebooks or any Python environment. Simply call modelbi.deploy to initiate your model, enabling Modelbit to handle it alongside all related dependencies in a production setting. Machine learning models deployed through Modelbit can be easily accessed from your data warehouse, just like calling a SQL function. Furthermore, these models are available as a REST endpoint directly from your application, providing additional flexibility. Modelbit seamlessly integrates with your git repository, whether it be GitHub, GitLab, or a bespoke solution. It accommodates code review processes, CI/CD pipelines, pull requests, and merge requests, allowing you to weave your complete git workflow into your Python machine learning models. This platform also boasts smooth integration with tools such as Hex, DeepNote, Noteable, and more, making it simple to migrate your model straight from your favorite cloud notebook into a live environment. If you struggle with VPC configurations and IAM roles, you can quickly redeploy your SageMaker models to Modelbit without hassle. By leveraging the models you have already created, you can benefit from Modelbit's platform and enhance your machine learning deployment process significantly. In essence, Modelbit not only simplifies deployment but also optimizes your entire workflow for greater efficiency and productivity.

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 Redshift
PyTorch
Databricks
GitHub
Google Colab
Jupyter Notebook

Integrations Supported

Amazon Redshift
PyTorch
AWS Glue
Amazon Athena
Amazon Bedrock
Amazon DataZone
Amazon EMR
Amazon Q Developer
Amazon SageMaker Autopilot
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Feature Store
Amazon SageMaker JumpStart
Hugging Face
Llama
Stability AI

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Modelbit

Date Founded

2022

Company Location

United States

Company Website

www.modelbit.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

AI/ML Model Training

Not specified

Machine Learning

Not specified

Categories and Features

AI Development

Not specified

AI/ML Model Training

Not specified

Data Science

Not specified

Generative AI

Not specified

ML Model Deployment

Not specified

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