Part 4/6:

Rockman's background in infrastructure and distributed systems has been instrumental in OpenAI's ability to push the boundaries of large-scale model training. He describes the evolution of their infrastructure, from relying on open-source tools like Kubernetes and Terraform to building custom solutions like MPI and Rook.

However, Rockman recognized the need for a more robust and developer-friendly platform, which led them to adopt Ray, a distributed computing framework. The integration of Ray has significantly improved their ability to scale up model training, handle exceptions, and provide a more seamless development experience.

The Unstoppable Momentum of AI Progress

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