Home > Storage > PowerFlex > White Papers > Optimizing High Frequency Trading with Real Time Insights using Dell PowerFlex and NVIDIA - White Paper > Executive summary
The growth of artificial intelligence (AI) has had a profound impact on different aspects of business and personal life. Application landscapes are changing, and organizations are embracing new technologies to enhance decision making. Success relies on refined algorithms, fast access to expansive structured datasets, and the heightened computational capabilities of CPUs and GPUs.
As organizations embrace data insights, success hinges on improved algorithms, access to larger structured datasets, and the increased computational power of CPUs and GPUs.
Dell’s software-defined infrastructure platform, PowerFlex, and NVIDIA satisfy the insatiable demand for high-frequency, real-time processing of structured block data applications. Also, the exceptional PowerFlex AMD compute nodes with GPU capabilities enhance KX’s kdb+ and KDB.AI database transactions, addressing use cases tailored for capital markets, trading companies, and financial institutions.
This paper provides guidance for the deployment of niche AI use cases using NVIDIA L40S GPU, KDB.AI as a vector database and Dell PowerFlex for the underlying software-defined storage. This paper also describes the validation of time series and analytics database kdb+ on the PowerFlex system.