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Flyte

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About

Flyte is an open-source workflow orchestration platform designed for building data, ML, and analytics workflows with ease. It enables dynamic, crash-proof AI orchestration by supporting durable, flexible, and Kubernetes-native workflows. Key capabilities include on-demand compute scaling with native Kubernetes execution, automatic retries, checkpointing, and failure recovery for robust reliability. Users can write and debug workflows locally and then deploy the same code to production. Flyte facilitates extremely flexible data and ML workflows, offering end-to-end data lineage, collaboration through reusable components, platform-level integration, and dynamic resource allocation. It aims to streamline the entire data & ML workflow development process, from data processing to distributed model training, with minimal maintenance overhead.

Platform

Task

ai orchestration

Features

• local development and remote deployment

• collaborate with reusable components

• end-to-end data lineage

• automatic retries, checkpointing, and failure recovery

• on-demand compute scaling

• pure python authoring

• durable, flexible, kubernetes-native workflows

• dynamic, crash-proof ai orchestration

Pricing Plans

Union Enterprise

• For building scalable, mission-critical AI systems and agents in your cloud

• Managed, enterprise-grade platform powered by Flyte

Flyte Open-Source

• For building reliable AI/ML pipelines and agents with OSS

• Open-source

• Pure Python authoring

• Dynamic decision-making

• Crash-proof reliability

• Run locally

• End-to-end workflow management (Flyte 2.0)

• Real-time inference (Flyte 2.0)

• Live remote debugger (Flyte 2.0)

• Reusable, warm-start containers (Flyte 2.0)

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