Ray vs. RunPod Comparison


Ray Anyscale	RunPod	+	+
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About Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.		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 ML and AI Engineers, Software Developers		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 Free 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 Anyscale Founded: 2019 United States ray.io		Company Information RunPod Founded: 2022 United States www.runpod.io
Alternatives Anyscale		Alternatives DigitalOcean
Horovod		Amazon EC2 G4 Instances Amazon
Vertex AI Google		Atlantic.Net
AWS Neuron Amazon Web Services		Vertex AI Google
Determined AI View All		Replicate View All
Categories Deep Learning Machine Learning ML Model Deployment		Categories 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) Google Cloud Platform PyTorch TensorFlow Amazon EC2 Trn2 Instances Anyscale Apache Airflow Axolotl Codestral Dask DeepSeek R1 EXAONE Feast Google Kubernetes Engine (GKE) LanceDB MLflow Mistral AI Qwen2.5 Qwen3 TinyLlama Show More Integrations View All 22 Integrations		Integrations Amazon Web Services (AWS) Google Cloud Platform PyTorch TensorFlow Amazon EC2 Trn2 Instances Anyscale Apache Airflow Axolotl Codestral Dask DeepSeek R1 EXAONE Feast Google Kubernetes Engine (GKE) LanceDB MLflow Mistral AI Qwen2.5 Qwen3 TinyLlama Show More Integrations View All 28 Integrations
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