When our team benchmarked XGBoost 2.0 and TensorFlow 2.15 on a 1 million user recommendation dataset, the cost difference wasn't a rounding error: XGBoost delivered 55% lower inference costs with equivalent offline accuracy, cutting our monthly AWS bill by $22,000 for a mid-sized rec system.




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