Peak Performance, Low Latency Rapidly Integrate & Deploy This core module enables direct integration into professional designs, significantly shortening development cycles and reducing engineering risk. High-Density AI Compute Delivers 26…
Geniatech Launches Industrial Edge AI Box Powered by NXP i.MX95 for Scalable On-Premise AI
Geniatech has announced the launch of the APC888 Edge AI Box PC, a new industrial edge computing platform designed to enable scalable artificial intelligence processing directly at the edge. Built…
Choosing the Right M.2 AI Accelerator for Edge AI: From Vision NPUs to LLMs
Edge AI systems today are expected to handle a wide range of workloads—from real-time computer vision to running compact large language models (LLMs) directly on embedded devices. Instead of relying…
Geniatech Accelerates Scalable Edge AI Deployment with DEEPX Technology
Geniatech, a global provider of ARM-based embedded computing and Edge AI solutions, today announced the expansion of its Edge AI portfolio with DEEPX-powered AI acceleration, introducing a new generation of scalable,…
Geniatech at CES 2026: Full-Stack Innovation for a Digital and Sustainable Future
The Consumer Electronics Show (CES) 2026 in Las Vegas has once again become the global stage for groundbreaking technology. Among the standout innovators, Geniatech confidently presented its vision as not just a…
Global AI Hardware Landscape 2025: Comparing Leading GPU, FPGA, and ASIC AI Accelerators
The AI hardware market in 2025 encompasses a diverse range of hardware solutions tailored for different performance needs and deployment environments. From massive cloud-based training to compact embedded inference, AI…
RK3576 Industrial AI SBC
XPI-3576: AI-Enhanced Industrial SBC with Raspberry Pi Compatibility The XPI-3576 is an AI-enhanced single board computer built on the Rockchip RK3576 SoC with optional Hailo-8 NPU integration. Featuring a hybrid…
What Is Edge AI and How Does It Help?
Imagine a world where your devices do more than perform tasks—they make smart decisions instantly. This is the reality of Edge AI, enabled by the convergence of IoT devices, the…
Top AI Accelerator Manufacturers Powering the Future of Edge Intelligence
As artificial intelligence continues to move closer to the edge, choosing the right AI accelerator hardware has become a mission-critical decision for engineers, product designers, and system integrators. Whether you’re…
When Large Models Go to the Edge: How ARM Is Powering the Next Wave of Embedded AI
Over the past two years, something big has changed in AI. Large language models (LLMs) and multimodal models (VLMs) are no longer trapped in massive data centers. Thanks to smarter…
How to Choose the Right System-on-Module
System-on-Modules (SoMs) are compact embedded computing platforms that integrate the processor, memory, storage, and I/O into a single ready-to-use module. They reduce design complexity, accelerate time-to-market, and save development costs…