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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon SageMaker Studio Lab offers a complimentary environment for machine learning (ML) development, ensuring users have access to compute resources, storage of up to 15GB, and essential security features without any charge, allowing anyone to explore and learn about ML. To begin using this platform, all that is required is an email address; there is no need to set up infrastructure, manage access controls, or create an AWS account. It enhances the process of model development with seamless integration with GitHub and is equipped with widely-used ML tools, frameworks, and libraries for immediate engagement. Additionally, SageMaker Studio Lab automatically saves your progress, meaning you can easily pick up where you left off without needing to restart your sessions. You can simply close your laptop and return whenever you're ready to continue. This free development environment is designed specifically to facilitate learning and experimentation in machine learning. With its user-friendly setup, you can dive into ML projects right away, making it an ideal starting point for both newcomers and seasoned practitioners.

Description

Experience a robust, self-service machine learning platform that enables you to transform models into scalable APIs with just a few clicks. Create an account with Deep Infra through GitHub or log in using your GitHub credentials. Select from a vast array of popular ML models available at your fingertips. Access your model effortlessly via a straightforward REST API. Our serverless GPUs allow for quicker and more cost-effective production deployments than building your own infrastructure from scratch. We offer various pricing models tailored to the specific model utilized, with some language models available on a per-token basis. Most other models are charged based on the duration of inference execution, ensuring you only pay for what you consume. There are no long-term commitments or upfront fees, allowing for seamless scaling based on your evolving business requirements. All models leverage cutting-edge A100 GPUs, specifically optimized for high inference performance and minimal latency. Our system dynamically adjusts the model's capacity to meet your demands, ensuring optimal resource utilization at all times. This flexibility supports businesses in navigating their growth trajectories with ease.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub
Amazon SageMaker
Amazon Web Services (AWS)
Codestral
Git
Jupyter Notebook
Llama 2
Llama 3.2
Llama 3.3
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral Large
Mistral NeMo
Mixtral 8x7B
Pixtral Large
PyTorch
Python
TensorFlow

Integrations

GitHub
Amazon SageMaker
Amazon Web Services (AWS)
Codestral
Git
Jupyter Notebook
Llama 2
Llama 3.2
Llama 3.3
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral Large
Mistral NeMo
Mixtral 8x7B
Pixtral Large
PyTorch
Python
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.70 per 1M input tokens
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Vendor Details

Company Name

Deep Infra

Website

deepinfra.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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