This is a good example of how things are rapidly evolving.

Also, the new foundation isn't called "The MCP Foundation", but the "Agentic AI Foundation". Clearly a buzzword-compliant name, but also hedging the bet that MCP will be the long-term central story.

It's a very different system. Hadoop was structured to compute over massive data sets, especially at a time when hardware forced moving compute to the data to optimize overall performance. (That's less true today; networks sometimes are faster than disk access!) In Ray, when you annotate a function to make it a remote task or annotate a class to make it a remote actor, _both_ the data passed to the function, or the data and object state for the actor, serialized together and moved to the node where execution will occur. Then results (or object/actor state) are retrieved with the `ray.get` method. So, the "chunks" of data are relatively small, compared to Hadoop, much more fine grained.

Thank you! Very informative answer.

I like this design, it seems much more "manageable" from a mere human's perspective.