EdgeCortix Launches SAKURA-II M.2 AI Module for Raspberry Pi 5 & Arm Platforms
EdgeCortix Inc., a leading fabless semiconductor company specializing in energy-efficient AI processing at the edge, has launched its SAKURA-II M.2 Module, now compatible with Arm-based platforms like the Raspberry Pi 5 and AETINA’s Rockchip platform.
This integration enhances real-time Generative AI capabilities at the edge, delivering unprecedented performance and efficiency for AI computing applications in a compact, affordable package.
The launch marks a significant step forward in democratizing AI technologies, enabling developers to run advanced deep learning models directly on devices like the Raspberry Pi 5, without relying on cloud infrastructure.
This growth enables edge devices to execute real-time AI workloads with reduced energy consumption, providing significant performance gains for many applications ranging from robotics to smart farming.
Dr. Sakyasingha Dasgupta, Founder and CEO of EdgeCortix, said, “Bringing our low-power AI acceleration technology to Raspberry Pi 5 users opens the door for innovators and enterprises around the world to build smarter, faster, and more efficient edge AI-driven devices and systems rapidly”
He added, “We’re excited to bring real-world Generative AI capabilities to embedded Arm platforms and fuel the next wave of intelligent, autonomous systems as we pioneer the future of the connected intelligent edge.”
AI-Powered Edge Capabilities with SAKURA-II
The SAKURA-II M.2 Module allows direct execution of Generative AI models such as Vision Transformers (ViTs), Small Language Models (LLMs), and Vision Language Models (VLMs) on edge devices. This technology is central to applications necessitating zero latency, low power, and real-time AI without incurring expensive data centers.
The SAKURA-II module enables efficient on-device AI, running models like ViTs and LLMs on Raspberry Pi 5 and Arm platforms with low latency and power use. Optimized for Arm and cost-effective, it accelerates development and is ideal for compact, offline AI applications in drones, robotics, and smart systems.
Also read: Edge Cortix Secures ¥3 Billion Grant to Advance Edge AI Chips
Revolutionizing Edge AI with Low-Power, High-Performance Solutions
By integrating the SAKURA-II M.2 Module with Raspberry Pi 5 and other Arm-based devices, EdgeCortix enables developers and hardware innovators to build production-ready, cost-effective edge AI solutions.
The ability to run Generative AI workloads, such as ViTs, LLMs, and VLMs, directly at the edge allows for intelligent, autonomous applications in industries like smart cities, robotics, healthcare, and more, without the reliance on cloud infrastructure.
