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AI Accelerator (NPU) IP - 3.2 GOPS for Audio Applications
The Expedera TimbreAI 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 achieves a best in class <300μW power consumption due to Expedera’s unique packet-based architecture. TimbreAI requires no external memory access, saving system power while increasing performance and reducing chip size, processing latency and system BOM costs.
Designed to provide quick and seamless deployment into customer hardware, TimbreAI provides optimal performance within the strict power and area application requirements of today’s advanced audio devices. TimberAI’s unified compute pipeline architecture enables highly efficient hardware scheduling and advanced memory management to achieve unsurpassed end-to-end low-latency performance. This minimizes die area, saves power, and maximizes performance.
Designed to provide quick and seamless deployment into customer hardware, TimbreAI provides optimal performance within the strict power and area application requirements of today’s advanced audio devices. TimberAI’s unified compute pipeline architecture enables highly efficient hardware scheduling and advanced memory management to achieve unsurpassed end-to-end low-latency performance. This minimizes die area, saves power, and maximizes performance.
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Block Diagram of the AI Accelerator (NPU) IP - 3.2 GOPS for Audio Applications
AI Inference IP
- RISC-V-based AI IP development for enhanced training and inference
- Highly scalable inference NPU IP for next-gen AI applications
- AI accelerator (NPU) IP - 16 to 32 TOPS
- AI accelerator (NPU) IP - 1 to 20 TOPS
- AI accelerator (NPU) IP - 32 to 128 TOPS
- AI Inference IP. Ultra-low power, tiny, std CMOS. ~ 100K parameter RNN