Seamlessly accelerate increasingly complex compute-intensive AI workloads!
The "Dynamic Neural Accelerator (DNA)" is a flexible deep learning inference IP core characterized by high computational power, ultra-low latency, and a scalable inference engine. It boasts excellent power efficiency compared to other standard processors while achieving ultra-low latency for inference in streaming data. Please feel free to contact us if you have any inquiries. 【Features】 ■ Ultra-low latency AI inference IP core ■ Robust open-source MERA software framework ■ Compatible with both FPGA and ASIC/SoC (The photo and the link below show an example of DNA mounted on the Bittware (Molex Japan) FPGA card IA420F.) *For more details, please refer to the link below, download the PDF, or contact us. Reference link: https://www.bittware.com/ja/ip-solutions/edgecortix-dynamic-neural-accelerator/
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【Feature Details】 ■ Ultra-low latency AI inference IP core - Up to 24,576 MAC convolution processing units and a dedicated vector engine for non-convolution processing units @ 400MHz - Data flow array-based architecture optimized for INT8 quantization parameters and activations - Patented runtime reconfigurable interconnect ■ Robust open-source MERA software framework - MERA Compiler 1.0 maximizes parallel processing and computational utilization by leveraging diverse parallelism - Native support for Pytorch & TensorFlow Lite models - Integrated with open-source Apache TVM - MERA open-source URL: https://pypi.org/project/mera/
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We offer products such as the deep learning inference IP core "Dynamic Neural Accelerator (DNA)" characterized by high computational power, ultra-low latency, and a scalable inference engine, as well as the edge AI coprocessor SoC "EdgeCortix SAKURA," which achieves industry-leading computational efficiency and latency, and the software framework "EdgeCortix MERA," which is compatible with various platforms. Please feel free to contact us if you have any inquiries.