Key Benefits

Unlock full reproducibility across ML projects

Unlock full reproducibility across ML projects

XetHub provides a unified versioning layer for your entire ML lifecycle, seamlessly integrating with your existing tools. Version all your assets — code, notebooks, models, and datasets — in one place, regardless of file types or sizes, ensuring full reproducibility.

• Track data, features, models, and code together

• No size limits, no compromises

• Automatic versioning for all ML assets

Unlock full reproducibility across ML projects

XetHub provides a unified versioning layer for your entire ML lifecycle, seamlessly integrating with your existing tools. Version all your assets — code, notebooks, models, and datasets — in one place, regardless of file types or sizes, ensuring full reproducibility.

• Track data, features, models, and code together

• No size limits, no compromises

• Automatic versioning for all ML assets

Collaborate safely across organizations

Collaborate safely across organizations

Securely exchange data between teams and stakeholders, both inside and outside your organization. XetHub's automatic versioning maintains full traceability across rapidly changing assets.

• Secure data exchange with complete lineage

• Branch and experiment freely without copying

• Automatic versioning for seamless collaboration

Collaborate safely across organizations

Securely exchange data between teams and stakeholders, both inside and outside your organization. XetHub's automatic versioning maintains full traceability across rapidly changing assets.

• Secure data exchange with complete lineage

• Branch and experiment freely without copying

• Automatic versioning for seamless collaboration

Bring robust engineering practices to ML workflows

Bring robust engineering practices to ML workflows

Centralize assets and apply software development best practices to your ML workflows. XetHub empowers  data scientists to work remotely with localhost speed, accelerating experimentation and deployment.

• Integrate with your existing tools and frameworks

• Full support for DevOps practices and workflows

• Work remotely with localhost-like performance

Bring robust engineering practices to ML workflows

Centralize assets and apply software development best practices to your ML workflows. XetHub empowers  data scientists to work remotely with localhost speed, accelerating experimentation and deployment.

• Integrate with your existing tools and frameworks

• Full support for DevOps practices and workflows

• Work remotely with localhost-like performance

How It Works

1

Connect your data sources and ML tools to XetHub

2

XetHub automatically versions assets as they change

1

Access versions from anywhere to reproduce models and collaborate

[Demo video of XetHub versioning]

Key Capabilities

Unified versioning for all ML asset types and sizes
Infinite version history to time travel with ease
Git-like experience to fit developer workflows
Mount and stream data from anywhere in seconds
Integrates with your existing stack

Use Cases

Reproduce results by accessing exact model, code, and data versions

Versioning for Analytics

Collaborate across teams with a single source of truth

Sync on S3 ?

Meet compliance needs with complete asset versioning and lineage

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With XetHub, we can version 100s of GBs of models and datasets in one place. This has been a game changer for reproducibility and collaboration across our ML teams."

NAME

ML Platform Lead

Getting Started

Getting Started

XetHub consolidates your workflows for accelerated development and delivery.