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ML Operations

Outerbounds

Platform for building and deploying ML and AI systems on Metaflow

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About Outerbounds

Outerbounds provides a managed platform for building, deploying and operating ML, AI and data science workloads, built on the open-source Metaflow framework created at Netflix. It runs inside the customer's own cloud account and offers GPU and autoscaling compute. The site indicates the company is joining Anaconda.

Common use cases

  • Production ML pipelines
  • LLM and agent workflows
  • GPU workload scheduling
  • Regulated-industry ML

Products and services

Outerbounds Platform

Managed platform for production ML and AI workflows running in the customer's cloud.

Metaflow

Open-source Python framework for building and managing data science and ML workflows.

Key features

  • Workflow orchestration
  • GPU autoscaling compute
  • Runs in customer cloud
  • Data platform integration
  • Model deployment
  • HIPAA and SOC 2 support

Integrations

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Kubernetes
  • Snowflake

Outerbounds alternatives

FAQs

Who is Outerbounds designed for?

ML, data science and platform engineering teams that want production-grade workflows in their own cloud.

How is Outerbounds delivered?

Delivery model: Cloud (SaaS), Open source.

How is Outerbounds priced?

Free start option; paid platform, contact sales.

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