👉 Dakota Computing is an innovative approach to computing that emphasizes the use of low-power, specialized hardware designed for specific tasks, rather than relying on traditional general-purpose CPUs. This paradigm leverages field-programmable gate arrays (FPGAs) and application-specific integrated circuits (ASICs) to create highly optimized systems for particular applications, such as AI, signal processing, or data analytics. By focusing on the unique requirements of these tasks, Dakota Computing aims to deliver superior performance and energy efficiency compared to conventional computing methods. This approach not only reduces power consumption but also accelerates computation, making it particularly suitable for edge computing and IoT applications where resources are limited and real-time processing is critical.
