Orchestrate Your AI

Bring engineering, ops and data science teams together to create AI products efficiently with lower cost and faster time to market.

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       from flytekit import task, workflow
			


      @task

      def say_hello() -> str:

          return “Hello, World!”
			


      @workflow

      def wf() -> str:

          return say_hello()
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Flyte, supercharged

All of the ML workflow features you’ve come to love with Flyte™, by the team that built Flyte, but optimized for better execution, governance, and productivity so that your teams spend less time debugging and more time innovating.

Accelerate Experimentation

Unify work streams

Integrated compute and orchestration delivers an end-to-end platform that accelerates AI product development with managed ops and flexible deployment.

Maximize AI ROI

Ship faster and more efficiently, reducing costs without sacrificing innovation. Execute on a trusted foundation that includes role-based accounts, SOC-2 compliance and enterprise-grade observability and tracking.

Powerful DAGs, observability & cost-efficient engineering

Modern orchestration built for AI scale

Python-driven experience

We take care of running your compute efficiently, so developers and data scientists can define, manage, and execute complex workflows using familiar Python constructs and libraries.

Local development, rapid scale

Build locally with a modern, modular architecture that reinforces software development best practices, then seamlessly transition to remote execution

Declarative infrastructure

Express your requirements and leave the infrastructure provisioning, configuring, and scaling to us. Leverage Ray, Spark, Dask, distributed training all through a single platform.

Enhanced performance

Boost performance with faster file reads, full workflow caching, and an optimized engine that has been fine-tuned and optimized for faster executions.

Work with any GPU type

Adapt to diverse computing needs with an array of GPU types (Nvidia, TPU & other accelerators) tailored to your needs to maximize performance and minimize costs.

Secure multi-cloud

Confidently run your AI and data workflows across different cloud providers while maintaining high data protection standards and compliance with full data lineage, versioning, caching, observability, and reproducibility.

The Union orchestration partner network

Available now on the AWS Marketplace

Available now on the AWS Marketplace

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Available soon on the GCP Marketplace

Available now on the GCP Marketplace

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Member of the Nvidia Inception Program

Member of the Nvidia Inception Program

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Union powers the most advanced AI Apps

“One thing that I really like compared to my previous experience with some of these tools: the local dev experience with pyflyte and the sandbox are super, super nice to reduce friction between production and dev environment.”

Krishna Yeramsetty
Principal Data Scientist at Infinome

“Given the scale at which some of these tasks run, compute can get really expensive. So being able to add an interruptible argument to the task decorator for certain tasks has been really useful to cut costs.”

Jeev Balakrishnan
Software Engineer at Freenome

“Workflow versioning is quite important: When it comes to productionizing a pipeline, there are only a few platforms that provide this kind of versioning. To us, it’s critical to be able to roll back to a certain workflow version in case there is a bug introduced into our production pipeline.”

Pradithya Aria Pura
Principal Software Engineer at Gojek

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