By combining the enormous storage capacity of massively parallel processing (MPP) databases and Hadoop platforms with GPU-based analytics, a new architecture of fast Accelerated Analytics--with the ability to scale--will be discussed. We'll focus on benchmarks and early customer results in the use of high-performance, parallelized analytics on NVIDIA chips. We'll show how this GPU environment can be linked to the millions or billions of rows of data in databases or Hadoop clusters. We'll also cover solutions to business problems that were previously considered unsolvable using conventional CPU-based analytics. Use cases from finance, retail, healthcare, and manufacturing industries will be described.