Build and Release ML Models Faster with Hub 2.0

We’re excited to announce the release of Hub 2.0! With version 2.0 we’ve added features that make it even easier for your ML teams to get models to production, while also saving you money on processing and storage costs!

Join us as we’ll discuss:

  •  New Jupyter notebook support with Hub that enables more effective collaboration between data engineering and data science.
  •  New Console and Global IDs for improved visibility, data debugging and reproducibility
  •  A new storage framework that boosts small file processing performance lowering data processing, storage, and developer costs

Join us and learn how to get started with Hub!

Webinar

Register Here