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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

Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance.

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

Lambda is built for AI labs, enterprises, research teams, and startups that need secure, high-performance GPU infrastructure to train and deploy advanced AI systems at massive scale

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

No information available.
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

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Reviews/Ratings

Overall 2.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 4.0 / 5
support 2.0 / 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

Lambda
Founded: 2012
United States
lambda.ai

Alternatives

Alternatives

Categories

Categories

Integrations

Jupyter Notebook
TensorFlow
Amazon SageMaker
Amazon Web Services (AWS)
Caffe
Conda
EquityZen
Git
GitHub
Keras
NVIDIA Brev
OpsVerse
PyTorch
Python
Shadeform
ZenML

Integrations

Jupyter Notebook
TensorFlow
Amazon SageMaker
Amazon Web Services (AWS)
Caffe
Conda
EquityZen
Git
GitHub
Keras
NVIDIA Brev
OpsVerse
PyTorch
Python
Shadeform
ZenML
Claim Amazon SageMaker Studio Lab and update features and information
Claim Amazon SageMaker Studio Lab and update features and information
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Claim Lambda and update features and information