Geniatech, a global provider of ARM-based embedded and digital signage solutions, today launched the APC3588Q Quad-Display Digital Signage Player, powered by Rockchip’s RK3588 octa-core processor. Designed for high-performance multi-screen digital…
NXP i.MX 8M Plus vs Rockchip RK3588: A Technical Deep Dive for Embedded Systems
In the competitive landscape of embedded systems, selecting the right System-on-Chip (SoC) can make or break your product’s success. Two prominent contenders in the mid-to-high-end embedded space are NXP’s i.MX…
Industrial RK3588 Embedded AI Computer with 8K & NPU
AI High Performance Industrial PC APC3588 adopts Rockchip high-end 8nm flagship chip RK3588, supports up to 32GB of memory, 8K video encoding/decoding, and a range of interfaces, including Gigabit Ethernet,…
RK3588 System-on-module
High-Performance AI System-on-Module with RK3588 SOM3588 is a powerful system on module powered by the RockChip RK3588 chip, featuring a 6Tops NPU and a quad-core Mali-G610 MP4 GPU. It comes…
RK3588 Development Board
RK3588 High Performance AI Development Board Geniatech DB3588V2 is a high-performance AI development board featuring RockChip’s RK3588 chip with integrated 6Tops NPU. Consisting of a SOM3588 and carrier board, equipped…
RK1828 vs Jetson Orin NX, Hailo-8 and RK1820: A New Direction for Edge AI Acceleration
As edge AI workloads continue shifting from traditional vision inference to on-device large language models (LLMs), memory bandwidth and power efficiency are becoming just as important as raw TOPS performance….
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…
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,…
ARM vs x86 for Edge AI Workloads: Performance, Power, and Trade-Offs
For years, x86 has been the go-to for AI developers. Strong single-core performance, a mature ecosystem, and plenty of compute—what’s not to like? But at the edge, where devices need…
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…