Machine Learning: Ray 2.0 macht verteilte Workloads großer Modelle skalierbarer
Das Framework zum Skalieren von KI- und Python-Apps unterstützt die Zufallswiedergabe großer Datensätze über 100 Terabyte. Es führt die AI Runtime Ray AIR ein.
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