InfoQ AI ML Data Engineering:Uber Moves Beyond CPU Cores with Performance-Aware Scheduling for Stateful Workloads
原文摘要:Uber has introduced Normalized Compute Units (NCUs) to make CPU allocation more consistent across its highly heterogeneous server fleet. By Craig Risi 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。