EdgeCortix Inc., a leading fabless semiconductor company specializing in energy-efficient Artificial Intelligence (AI) processing at the edge, today announced that its industry leading AI accelerator, SAKURA-II M.2 Module is now available with Arm-based platforms, including Raspberry Pi 5 and AETINA's Rockchip (RK3588) platform, delivering unprecedented performance and efficiency for edge AI computing applications.

This powerful integration marks a major leap in democratizing real-time Generative AI capabilities at the edge. Designed with a focus on low power consumption and high AI throughput, the EdgeCortix SAKURA-II M.2 module enables developers to run advanced deep learning models directly on compact, affordable platforms like the Raspberry Pi 5—without relying on cloud infrastructure.

MSI's latest high-end gaming laptops, including the Titan 18 HX AI, Raider 18 HX AI, and Vector 16 HX AI, feature Intel Core Ultra 200 HX series CPUs and NVIDIA RTX 50 series GPUs, while Raider A18 HX and Vector A18 HX run on AMD Ryzen 9000 series. With NVIDIA's last major GPU upgrade in over two years, these laptops deliver top-tier performance for ultra-high-resolution gaming. Beyond gaming, MSI's Titan, Raider, Vector, and Stealth series excel in AI applications, particularly Small Language Models (SLM), making them ideal for both gaming and AI-driven tasks.

Next-Gen GPUs: A Breakthrough for AI Applications
NVIDIA's latest RTX 50 series GPUs, built on the cutting-edge Blackwell architecture, introduce 5th-generation Tensor Cores, 4th-generation RT Cores, and Neural Rendering technology for the first time. With expanded memory capacity and GDDR7, these GPUs optimize AI-enhanced neural computations, reducing memory usage while boosting graphics rendering and AI processing efficiency. This results in unmatched performance for both gaming and creative workloads, enabling smoother, more efficient execution of complex tasks.