The SAKURA-II AI Accelerator stands out as a high-performance, energy-efficient edge co-processor designed to handle advanced AI tasks. Tailored for real-time, batch-one AI inferencing, it supports multi-billion parameter models, such as Llama 2 and Stable Diffusion, while maintaining low power consumption. The core technology leverages a dynamic neural accelerator for runtime reconfigurability and exceptional parallel processing, making it ideal for edge-based generative AI applications.
With its flexible architecture, SAKURA-II facilitates the seamless execution of diverse AI models concurrently, without compromising on efficiency or speed. Integrated with the MERA compiler framework, it ensures easy deployment across various hardware systems, supporting frameworks like PyTorch and TensorFlow Lite for seamless integration. This AI accelerator excels in AI models for vision, language, and audio, fostering innovative content creation across these domains.
Moreover, SAKURA-II supports a robust DRAM bandwidth, far surpassing competitors, ensuring superior performance for large language and vision models. It offers support for significant neural network demands, making it a powerful asset for developers in the edge AI landscape.
