Origin™ is a neural engine IP line of products from Expedera that reduces memory requirements to the bare minimum and dramatically slashes processing overhead. These products are ideal for optimising application performance from the smallest edge nodes to smartphones to automobiles.
Origin E1The Origin E1 processing cores are individually optimised for a subset of neural networks commonly used in home appliances, edge nodes, and other small consumer devices. The E1 LittleNPU supports always-sensing cameras found in smartphones, smart doorbells, and security cameras. |
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Origin E2The Origin E2 is designed for power-sensitive on-chip applications that require no off-chip memory. It is suitable for low power applications such as mobile phones and edge nodes, and like all Expedera NPUs, is tunable to specific workloads. |
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Origin E6Origin E6, optimised to balance power and performance, utilises SoC cache or DRAM access during runtime and supports advanced system memory management. Supporting multiple jobs, the E6 runs a wide range of AI models in smartphones, tablets, edge servers, and others. |
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Origin E8Origin E8 is designed for high-performance applications required by autonomous vehicles/ADAS and data centres. It offers superior TOPS performance while dramatically reducing DRAM requirements and system BOM costs, as well as enabling multi-job support. Even at 128 TOPS, with its low power consumption, the Origin E8 is a good fit for deployments in passive cooling environments. |
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TimbreAI T3TimbreAI T3 is an ultra-low power Artificial Intelligence (AI) inference engine designed for noise reduction uses cases in power-constrained devices such as headsets. TimbreAI requires no external memory access, saving system power while increasing performance and reducing chip size. |
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