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The "Origin E1" is engineered for AI applications demanding minimal power and space, commonly deployed in home appliances, smartphones, and security devices. Tailored for efficiency, the E1 provides a compact AI processing unit optimized to handle always-on tasks with a low power footprint. Its architecture focuses on achieving less than 1 TOPS performance, making it well-suited for applications where conserving power and memory is paramount. By utilizing Expedera's packet-based schema, the E1 achieves parallel processing across layers, enhancing speed and reducing energy and space requirements, crucial for maintaining the performance of everyday smart devices. In terms of utility, the E1 is exemplified in always-listening technologies, allowing for seamless user experiences by keeping the power necessary for continuous AI analysis to a minimum, ensuring privacy as all data remains processed within the subsystem.
"TimbreAI T3" is crafted as an ultra-low power AI engine primarily for audio-centric applications, where power efficiency is crucial. Capable of executing 3.2 GOPS under 300µW, TimbreAI excels in noise reduction tasks essential in wireless headsets and other audio devices. It leverages a packet-based architecture to achieve this efficiency, making it ideal for deployments in consumer electronics where battery life and performance must balance. TimbreAI does away with the need for off-chip memory access, thereby reducing energy footprint and enhancing speed, and is delivered as a soft IP, lending flexibility across multiple hardware platforms. This versatile and power-conscious design ensures remarkable integration in a variety of audio applications, promoting sustainability without compromising performance.
The "Origin E8" stands out in handling intense computational tasks, addressing the needs of automotive, ADAS systems, and data centers with its robust processing capabilities. It offers exceptional performance, scaling to an impressive 128 TOPS per core, perfectly meeting the demands of modern complex AI tasks, including real-time analytics and intricate neural network applications. Expedera's packet-based architecture optimizes the E8 to bypass typical architectural constraints, maximizing throughput and reducing latencies. This NPU is built to execute multiple networks concurrently with efficiency, making it a crucial component in systems requiring rapid data processing and high operational agility.
The "Origin E2" NPU core is designed for edge devices, providing a balanced approach to AI inference by combining efficiency and performance. Targeted at smartphones, smart devices, and edge nodes, the E2 specializes in power-optimized processing with a focus on handling complex AI tasks efficiently. Supporting a range from 1 to 20 TOPS, it is versatile enough to suit various applications, from video analytics to signal processing. Expedera's packet-based design allows parallel layer execution, maximizing resource use while minimizing power drains and latency. The E2 integrates various neural network technologies including CNNs, RNNs, and LSTMs, all while maintaining exceptional performance in terms of processor utilization, making it ideal for many consumer and industrial applications.
"Origin E6" NPU is tailored for applications requiring both cutting-edge performance and power efficiency. With a capability ranging from 16 to 32 TOPS, it serves high-demand sectors like smartphone applications, augmented and virtual reality systems, and beyond. The E6 utilizes a packet-based architecture, significantly outpacing typical layer-focused designs by facilitating unmatched execution parallelism and resource use. Engineered for low latency and energy consumption, the E6 supports extensive AI workloads, from video processing to text and audio applications, providing scalable solutions for modern and future technologies. This makes the E6 ideal for industries striving for superior AI performance while prioritizing efficiency and space.
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