In a very presentation at QCon Moreover in 2023, Zhe Zang from Anyscale furnished supplemental context on how corporations like Pinterest use Ray for giant-scale equipment-learning tasks. Zhe highlighted that Ray's adaptability and simplicity of use make it especially beautiful for organisations planning to modernise their ML infrastructure.
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He described how Ray permits seamless information loading and preprocessing scaling past an individual occasion, which is vital for organizations with massive datasets. This ability addresses a typical bottleneck in ML workflows where by info processing can not sustain with GPU computation.
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