Save pytorch models in OCI registries
a project by jguilhermevanz
Updated 12 months ago. 1 hackers ♥️. 1 follower.

Description

A prerequisite for running applications in a cloud environment is the presence of a container registry. Another common scenario is users performing machine learning workloads in such environments. However, these types of workloads require dedicated infrastructure to run properly. We can leverage these two facts to help users save resources by storing their machine learning models in OCI registries, similar to how we handle some WebAssembly modules. This approach will save users the resources typically required for a machine learning model repository for the applications they need to run.

Goals

Allow PyTorch users to save and load machine learning models in OCI registries.

Resources

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Looking for hackers with the skills:

ai mlops pytorch oci cloud

This project is part of:

Hack Week 24

Activity

  • 12 months ago: horon liked this project.
  • 12 months ago: jguilhermevanz started this project.
  • 12 months ago: jguilhermevanz added keyword "ai" to this project.
  • 12 months ago: jguilhermevanz added keyword "mlops" to this project.
  • 12 months ago: jguilhermevanz added keyword "pytorch" to this project.
  • 12 months ago: jguilhermevanz added keyword "oci" to this project.
  • 12 months ago: jguilhermevanz added keyword "cloud" to this project.
  • 12 months ago: jguilhermevanz originated this project.


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