You are here:
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.
查看 AI Accelerator Specifically for CNN 详细介绍：
- 查看 AI Accelerator Specifically for CNN 完整数据手册
- 联系 AI Accelerator Specifically for CNN 供应商
Block Diagram of the AI Accelerator Specifically for CNN
AI Accelerator IP
- AI accelerator (NPU) IP - 16 to 32 TOPS
- AI accelerator (NPU) IP - 1 to 20 TOPS
- AI accelerator (NPU) IP - 32 to 128 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