Amazon SageMaker Studio Lab vs. RunPod Comparison


Amazon SageMaker Studio Lab Amazon	RunPod	+	+
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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 RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.
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 RunPod is designed for AI developers, data scientists, and organizations looking for a scalable, flexible, and cost-effective solution to run machine learning models, offering on-demand GPU resources with minimal setup time
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 View more images or videos		Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial		Pricing $0.40 per hour 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: Review this Software		Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
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 RunPod Founded: 2022 United States www.runpod.io
Alternatives Amazon SageMaker Model Building Amazon		Alternatives DigitalOcean
Amazon SageMaker Amazon		Amazon EC2 G4 Instances Amazon
Amazon SageMaker Model Training Amazon		Atlantic.Net
Amazon SageMaker JumpStart Amazon		Vertex AI Google
Amazon SageMaker Pipelines Amazon View All		Intel Tiber AI Cloud Intel View All
Categories AI Infrastructure Machine Learning		Categories AI Cloud Providers AI Development AI Fine-Tuning AI Inference AI Infrastructure AI/ML Model Training Auto Scaling Cloud GPU Function as a Service (FaaS) Infrastructure-as-a-Service (IaaS) LLM API Machine Learning ML Model Deployment Serverless

Integrations Amazon Web Services (AWS) PyTorch TensorFlow Amazon SageMaker Axolotl Conda DeepSeek Coder DeepSeek R1 EXAONE Git Google Drive Hermes 3 IBM Granite Jupyter Notebook Llama 2 Llama 3.2 Mistral 7B Mistral AI Python Qwen3 Show More Integrations View All 9 Integrations		Integrations Amazon Web Services (AWS) PyTorch TensorFlow Amazon SageMaker Axolotl Conda DeepSeek Coder DeepSeek R1 EXAONE Git Google Drive Hermes 3 IBM Granite Jupyter Notebook Llama 2 Llama 3.2 Mistral 7B Mistral AI Python Qwen3 Show More Integrations View All 29 Integrations
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