Create and deploy Ray Serve applications in two clicks via Kapstan

Enable Ray Serve instantly — no YAML, no setup

Toggle Ray Serve at both the environment and container service level

Designed for AI/ML teams to deploy scalable APIs for real-time inference

Eliminate infra overhead and focus on building smarter models

Efficiency and Speed

Automation eliminates manual steps, enabling faster deployment and reducing the time required to set up and configure Ray Serve for production-ready environments

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Reduced Operational Overhead

Focus on building and improving models rather than dealing with the complexities of manual configuration and infrastructure management

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Scalability and Resilience

Automatically provisions the right infrastructure to support dynamic workloads, ensuring high availability and optimal performance even as traffic or model demand fluctuates.

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Trusted by high growth startups in all stages

"At Point Health, we leverage Kapstan to automatically provision and deploy clusters and containerized applications with built-in Ray Serve configuration with a few clicks. Our team can focus their efforts on enhancing our models to recommend the best treatments and recovery paths for patients based on their specific disease profiles, rather than managing tedious infrastructure configurations. Through Kapstan, we’re able to focus on our core business - transforming we deliver personalized, real-time healthcare solutions with efficiency and accuracy."

Rachel Gollub

CTO of Point Health

Create and deploy Ray Serve applications in two clicks via Kapstan

Efficiency and Speed

Reduced Operational Overhead

Scalability and Resilience

Considering Ray Serve for your AI workloads?

Trusted by high growth startups in all stages

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