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About

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage (up to 15GB), and security, all at no cost, for anyone to learn and experiment with ML. All you need to get started is a valid email address, you don’t need to configure infrastructure or manage identity and access or even sign up for an AWS account. SageMaker Studio Lab accelerates model building through GitHub integration, and it comes preconfigured with the most popular ML tools, frameworks, and libraries to get you started immediately. SageMaker Studio Lab automatically saves your work so you don’t need to restart in between sessions. It’s as easy as closing your laptop and coming back later. Free machine learning development environment that provides the computing, storage, and security to learn and experiment with ML. GitHub integration and preconfigured with the most popular ML tools, frameworks, and libraries so you can get started immediately.

About

Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer per-token pricing. Most other models are billed for inference execution time. With this pricing model, you only pay for what you use. There are no long-term contracts or upfront costs, and you can easily scale up and down as your business needs change. All models run on A100 GPUs, optimized for inference performance and low latency. Our system will automatically scale the model based on your needs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for a tool to learn and experiment with ML using a no-setup, free development environment

Audience

Anyone in search of a solution to run the top AI models to improve their machine learning outcomes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.70 per 1M input tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 1.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 4.0 / 5
support 1.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio-lab/

Company Information

Deep Infra
deepinfra.com

Alternatives

Alternatives

SambaNova

SambaNova

SambaNova Systems

Categories

Categories

Integrations

GitHub
Amazon SageMaker
Code Llama
Conda
Jupyter Notebook
Le Chat
Llama
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Mathstral
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
PyTorch

Integrations

GitHub
Amazon SageMaker
Code Llama
Conda
Jupyter Notebook
Le Chat
Llama
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Mathstral
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
PyTorch
Claim Amazon SageMaker Studio Lab and update features and information
Claim Amazon SageMaker Studio Lab and update features and information
Claim Deep Infra and update features and information
Claim Deep Infra and update features and information