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ENLIGHT is a deep learning accelerator designed to enhance inferencing computation with significant efficiency and compute density. It is engineered for edge computing environments, supporting mixed-precision (4/8-bit) operations that reduce DRAM traffic through clever layer partitioning and scheduling. Ideal for various deep neural networks, ENLIGHT delivers impressive performance and energy efficiency, outperforming many alternative solutions. The IP is highly versatile, suited for a range of applications from vehicle detection to surveillance. It includes a sophisticated vector engine optimized for modern deep neural network algorithms, like depth-wise convolution and feature pyramid networks. The ENLIGHT platform can scale out with multi-core support to parallelize DNN layers, ensuring high performance through efficient inter-layer optimization. With a comprehensive toolkit that supports industry-standard network formats like ONNX and TF-Lite, ENLIGHT simplifies the integration process for clients, helping them tailor solutions that precisely fit their needs. The design's extensibility allows for easy adaptation to new DNN changes, ensuring clients stay ahead in the rapidly evolving AI landscape.
ENLIGHT Pro represents the next generation of NPU IPs, targeted at high-performance edge devices such as automotive systems and advanced cameras. Engineered for flexibility and scalability, ENLIGHT Pro delivers exceptional compute power with capabilities reaching 4096 MACs per cycle for an 8-bit integer. The IP is able to operate at up to 1.0GHz on a 14nm process node, with performance offerings up to hundreds of TOPS. Designed to support contemporary AI applications, ENLIGHT Pro incorporates key features like tensor shape transformations and support for a variety of data types including integer and floating-point operations. Its architecture benefits from a vector processor that achieves a 16 FP16 MACs per cycle, enhancing computation across diverse tasks. Moreover, its integration of a RISC-V CPU vector extension enriches its adaptability for deep learning models. The software toolkit associated with ENLIGHT Pro facilitates transformation of network files into formats ready for high-level inference, supporting conversions for dominant network frameworks like PyTorch and TensorFlow. This ensures a seamless path from development to deployment, enabling clients to efficiently harness the power of cutting-edge AI technologies in their solutions.
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