Saved 55% on Recommendation Costs: XGBoost 2.0 vs TensorFlow 2.15 for 1M User Datasets

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3900225) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ANKUSH CHOUDHARY JOHAL Posted on Apr 28 • Originally published at johal.in Saved 55% on Recommendation Costs: XGBoost 2.0 vs TensorFlow 2.15 for 1M User Datasets #saved #recommendation #costs #xgboost 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…

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