Ogre.run provides infrastructure for AI scientists
to deploy their applications
When it comes to deploying source code, AI scientists can't afford the complexity of cloud hyperscalers
They need a straight path from code to computing infrastructure
Ogre.run helps AI scientists by streamlining the process of packaging their application so it can run anywhere
Powered by miniogre and integrated to GitHub, Ogre.run's WebApp automates the generation of reproducibility artifacts (Dockerfile, requirements, SBOM, README).
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As source code becomes an easily-accessible commodity, the main development roadblocks now lie in the AI infrastructure. Scientists struggle to deploy because:
They don't have the DevOps skills
The cloud was built for software engineers, not scientists
Different platforms require different cofigurations
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Without proper documentation, ease of deployment, and ongoing maintenance, source-code often becomes more of a burden than an asset. Additionally:
GitHub is slowly becoming a place where code goes to die
There is a lot of stale, undocumented, difficult-to-run code
Code value depreciates rapidly if it can’t be run with ease (time is money!)
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