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The Origin E1 is a compact yet powerful neural processing unit (NPU) designed for low-power applications in home appliances, smartphones, and security cameras. Specially tailored for always-on functions, the E1 offers unmatched power efficiency by utilizing Expedera's innovative packet-based architecture. This allows it to execute multiple layers in parallel, ensuring the optimal balance of performance and resource utilization. Engineered to operate with minimal to no external memory, the Origin E1 is ideal for cost-effective and area-sensitive designs. The LittleNPU processor within it is fine-tuned for sophisticated neural networks needed in always-sensing applications, maintaining privacy by keeping data on-board. This makes the E1 a robust choice for devices requiring dedicated AI processing without the penalty of high power consumption or large silicon area. In terms of technical specifications, the Origin E1 boasts a performance efficiency of up to 18 TOPS per Watt, with the capability to run various network types such as CNNs, RNNs, and DNNs. Its adaptability allows clients to customize features to meet specific needs, guaranteeing efficient deployments across numerous devices. The E1 leverages a full TVM-based software stack for seamless integration, further endorsing its versatility and effectiveness.
Targeting high-performance demands, the Origin E8 is built for sectors requiring robust AI capabilities, such as data centers and autonomous driving. It accommodates demanding applications for real-time processing tasks, offering up to 128 TOPS in a single core configuration. The E8 expedites complex AI workloads with its advanced packet-based architecture that enhances efficiency through concurrent multi-layer execution. The scalable design of the Origin E8 enables its use in diverse contexts, managing multiple AI networks simultaneously with minimal latency. Expedera's solution addresses the architectural needs of sectors where performance, area, and power efficiency are paramount, providing competitive advantages through optimal configuration. Including a comprehensive suite of development tools like a compiler, scheduler, and quantizer, the Origin E8 facilitates straightforward integration and adaptation to various AI models, thereby ensuring it can meet a broad range of application scenarios.
The TimbreAI T3 is meticulously designed to cater to ultra-low-power AI applications, notably in audio devices like headsets. Providing optimal noise reduction capabilities, the T3 performs efficient AI inference while utilizing minimal power, making it ideal for power-constrained environments. This AI engine achieves superior audio processing through 3.2 billion operations per second, while consuming less than 300 microWatts of power. The TimbreAI T3 supports full deployment across leading silicon processes, delivering seamless integration as soft IP to enhance audio experiences without extensive power requirements. With its focus on minimal footprint and maximized efficiency, the TimbreAI T3 allows developers to deploy neural networks without altering trained models, ensuring high accuracy and performance in tiny devices. Its flexibility and proven field deployment further solidify its credentials as a leading solution for the mobile audio market.
The Origin E2 NPU is engineered for power-sensitive devices requiring on-device AI processing. Suitable for smartphones and edge nodes, it supports various AI models and balances performance with low power consumption. By utilizing Expedera's packet-based architecture, the E2 achieves high efficiency and effective resource utilization, facilitating parallel execution across multiple layers to enhance computational throughput. The E2 is highly adaptable, supporting a broad performance range from 1 to 20 TOPS, making it well-suited for running neural networks like RNN, LSTM, CNN, and DNN without the need for hardware-specific modifications. This ensures seamless integration for customers looking to leverage their existing trained models. Equipped with a full TVM-based software stack, the Origin E2 simplifies network deployment while offering excellent customization capabilities to meet specific application requirements. Its design emphasizes field-proven reliability with its inclusion in over 10 million consumer devices globally.
Designed for edge inference applications, the Origin E6 NPU offers a state-of-the-art solution supporting both traditional and generative AI models. With performance scaling from 16 to 32 TOPS, the E6 is tailored to meet the sophisticated demands of next-gen smartphones, AR/VR devices, and automotive applications. Expedera's packet-based architecture facilitates parallel operations, ensuring efficient resource use and reducing latency. The E6 is highly customizable, supporting a wide range of AI models and enabling seamless deployments across diverse hardware environments without the need for extensive hardware-specific tuning. Expedera offers the Origin E6 with a complete software stack that promotes ease of integration and supports advanced features like multiple job APIs and quantization options. By achieving up to 90% processor utilization, the E6 maximizes performance while minimizing dark silicon waste, positioning it as a leading choice for AI chip architects seeking power efficiency and scalability in their designs.
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