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This paper describes best practices for hardware optimization for multi-terabyte SQL Server 2005 data warehouse and cube. It describes hardware testing and tuning exercises conducted with large-scale Analysis Services (MS OLAP) cubes based on multi-terabyte SQL Server data warehouse. Topics include lab setup, cube processing, MDX query load testing, processor comparison, and storage optimization as they pertain to an enterprise implementation of Analysis Services. The test exercise walks through hardware tuning plan which reduced cube processing by half. It shows the significance of disk I/O, number of processors, and processor architecture on cube processing and concurrent user load testing performance.