Audio codec with capacitor-less 106 dB dynamic range ADC and 120 dB SNR DAC with low latency
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AI Accelerator Specifically for CNN
Our IP inference accelerators enhance AI computations, providing outstanding performance across various applications. Whether your needs involve real-time object detection, natural language processing, image recognition, or other AI tasks, our accelerators empower quicker and more effective AI processing, elevating the competitiveness of your applications.
Parameterizeable AI Accelerator (GenCore) includes several SystemVerilog RTL kernels, such as DataFetcher, Conv+ReLU, MaxPooling and DataWriter.
Parameterizeable AI Accelerator (GenCore) includes several SystemVerilog RTL kernels, such as DataFetcher, Conv+ReLU, MaxPooling and DataWriter.
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Block Diagram of the AI Accelerator Specifically for CNN
![AI Accelerator Specifically for CNN Block Diagam](http://www.design-reuse.com/sip/blockdiagram/53414/20240119012643-main-SoC.png)
AI Accelerator IP
- AI Accelerator: Neural Network-specific Optimized 1 TOPS
- AI accelerator (NPU) IP - 1 to 20 TOPS
- Deeply Embedded AI Accelerator for Microcontrollers and End-Point IoT Devices
- Performance Efficiency Leading AI Accelerator for Mobile and Edge Devices
- High-Performance Edge AI Accelerator
- AI accelerator (NPU) IP - 16 to 32 TOPS