CircleCI
CI/CD platform with specialized capabilities for accelerating AI/ML workflows and software delivery.
At a Glance
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Get started with CircleCI at no cost with Free version available.
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About CircleCI
CircleCI is a leading continuous integration and continuous delivery (CI/CD) platform that has expanded its capabilities to specifically address the unique challenges of AI and machine learning development workflows. The platform provides specialized infrastructure, optimized workflows, and intelligent automation designed to accelerate the deployment of AI/ML models and applications. CircleCI enables data scientists and developers to automate testing, validation, and deployment of AI systems with the same rigor and efficiency as traditional software applications.
What sets CircleCI apart in the AI/ML space is its comprehensive approach to streamlining the complex development lifecycle of AI-powered applications. The platform offers purpose-built environments with GPU support, parallelized testing capabilities for model validation, and intelligent caching mechanisms that significantly reduce model training and testing times. CircleCI's robust integrations with popular AI/ML frameworks and tools create a cohesive ecosystem that bridges the gap between data science experimentation and production-ready AI systems. By applying DevOps best practices to the AI development process, CircleCI helps organizations transform their curiosity about AI possibilities into delivered value through reliable, repeatable, and automated workflows that ensure quality and consistency across AI deployments.

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Pricing
Free Plan Available
Get started with CircleCI at no cost with Free version available.
- Free version available
14 days
Try CircleCI for 14 days with access to Free trial available.
- Free trial available
Capabilities
Key Features
- Specialized AI/ML workflow optimization
- GPU acceleration for model training
- Intelligent caching for faster iterations
- Automated testing for model validation
- Environment consistency across development stages
- Parallel execution for efficiency
- Pipeline visualization and analytics
- Integration with AI/ML frameworks and tools