Baseten vs. Ray Comparison


Baseten	Ray Anyscale	+	+
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About Baseten is a high-performance platform designed for mission-critical AI inference workloads. It supports serving open-source, custom, and fine-tuned AI models on infrastructure built specifically for production scale. Users can deploy models on Baseten’s cloud, their own cloud, or in a hybrid setup, ensuring flexibility and scalability. The platform offers inference-optimized infrastructure that enables fast training and seamless developer workflows. Baseten also provides specialized performance optimizations tailored for generative AI applications such as image generation, transcription, text-to-speech, and large language models. With 99.99% uptime, low latency, and support from forward deployed engineers, Baseten aims to help teams bring AI products to market quickly and reliably.	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.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI engineering and machine learning teams looking for scalable, high-performance inference infrastructure with flexible deployment options and expert support	Audience ML and AI Engineers, Software Developers
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Open source. Consumption-based. Free Version Supported Free Trial Supported
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 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

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Baseten Founded: 2019 United States www.baseten.co	Company Information Anyscale Founded: 2019 United States ray.io
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Categories AI Cloud Providers Supported AI Inference Supported AI Infrastructure Supported Cloud GPU Supported ML Model Deployment Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations Amazon Web Services (AWS) Not Supported Apache Airflow Not Supported Azure Kubernetes Service (AKS) Not Supported Dask Not Supported Databricks Not Supported Feast Not Supported Google Kubernetes Engine (GKE) Not Supported LanceDB Not Supported Llama 3.1 Supported Llama 3.2 Supported Llama 4 Maverick Supported Llama 4 Scout Supported MARS6 Supported MLflow Not Supported Nemotron 3.5 Bolt Supported Orpheus TTS Supported PyTorch Not Supported Python Not Supported Stable Diffusion Supported Stable Diffusion XL (SDXL) Supported Show More Integrations View All 22 Integrations	Integrations Amazon Web Services (AWS) Supported Apache Airflow Supported Azure Kubernetes Service (AKS) Supported Dask Supported Databricks Supported Feast Supported Google Kubernetes Engine (GKE) Supported LanceDB Supported Llama 3.1 Not Supported Llama 3.2 Not Supported Llama 4 Maverick Not Supported Llama 4 Scout Not Supported MARS6 Not Supported MLflow Supported Nemotron 3.5 Bolt Not Supported Orpheus TTS Not Supported PyTorch Supported Python Supported Stable Diffusion Not Supported Stable Diffusion XL (SDXL) Not Supported Show More Integrations View All 22 Integrations
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