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The RayCore MC is a state-of-the-art real-time path and ray-tracing GPU that delivers high-definition, photo-realistic graphics with exceptional energy efficiency. Utilizing advanced path tracing technology, this GPU excels in rendering complex 3D images by simulating natural light behaviors such as global illumination and soft shadows. Its small form factor and low-power architecture make it ideal for mobile and embedded devices, supporting a broad range of high-end applications from gaming to augmented reality. Optimized with a MIMD (Multiple Instruction, Multiple Data) architecture, the RayCore MC supports independent parallel computation, enabling effective real-time path and ray tracing regardless of the graphic complexity. As a fully hardwired solution, it ensures linear scalability, enhancing graphics performance as it scales up in multi-core configurations. This GPU is designed to cater to the high demands of photo-realistic rendering in movies, education, simulations, and more. The RayCore MC uniquely supports immersive game environments and high-intensity virtual applications. Its sophisticated hardware design and support for advanced features facilitate cost-effective, low-power graphics solutions, making it an industry leader in cutting-edge GPU technology.
The RAIV is a flexible and high-performing General Purpose GPU (GPGPU), fundamental for industries experiencing rapid transformation due to the fourth industrial revolution—autonomous vehicles, IoT, and VR/AR sectors. Built with a SIMT (Single Instruction Multiple Threads) architecture, the RAIV enhances AI workloads with high-speed processing capabilities while maintaining a low-cost construct. This semiconductor IP supports diverse machine learning and neural network applications, optimizing high-speed calculations across multiple threads. Its high scalability allows tailored configurations in core units, effectively balancing performance with power efficiency dependent on application needs. The RAIV is equipped to handle 3D graphics processing and AI integration for edge computing devices, reinforcing its place in advanced technological development. Additionally, the RAIV's support for OpenCL offers compatibility across various heterogeneous computing platforms, facilitating versatile system configurations. Its optimal performance in AI tasks is further extended for use in metaverse applications, presenting a comprehensive solution that unifies graphics acceleration with AI-enhanced computational operations.
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