Certain technical aspects of Ray have driven a pattern of usage which is largely single-player per cluster. Multiple users generally don't use the same cluster, one Python script generally doesn't call into multiple clusters, and multiple clusters generally can't share an actor. We propose a new system for orchestrating between remote Ray clusters (including across regions or clouds) which overcomes these restrictions to make the clusters and resources within them fundamentally multiplayer. We also introduce a lightweight cluster and service registry and UI to make these resources feel accessible and collaborative, like a Google drive for AI.
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