The Origin E1 neural engines by Expedera redefine efficiency and customization for low-power AI solutions. Specially crafted for edge devices like home appliances and security cameras, these engines serve ultra-low power applications that demand continuous sensing capabilities. They minimize power consumption to as low as 10-20mW, keeping data secure and eliminating the need for external memory access. The advanced packet-based architecture enhances performance by facilitating parallel layer execution, thereby optimizing resource utilization.
Designed to be a perfect fit for dedicated AI functions, Origin E1 is tailored to support specific neural networks efficiently while reducing silicon area and system costs. It supports various neural networks, from CNNs to RNNs, making it versatile for numerous applications. This engine is also one of the most power-efficient in the industry, boasting an impressive 18 TOPS per Watt.
Origin E1 also offers a full TVM-based software stack for easy integration and performance optimization across customer platforms. It supports a wide array of data types and networks, ensuring flexibility and sustained power efficiency, averaging 80% utilization. This makes it a reliable choice for OEMs looking for high performance in always-sensing applications, offering a competitive edge in both power efficiency and security.
