parquet

Machine learning training on large datasets has become the bottleneck in modern ML workflows. While practitioners obsess over model architecture and hyperparameters, they often overlook a fundamental performance constraint: how quickly training data can be read from disk and fed into GPUs or CPUs. When training models on terabytes of data stored in Parquet files, … Read more