ADATA to Launches Complete Artificial Intelligence Ecosystem at Computex 2026 Integrating Enterprise Storage Industrial Edge Solutions and XPG Gaming Hardware
ADATA Technology, a major producer of memory modules, launched a broad artificial intelligence hardware roadmap on Computex 2026 with a central theme of Activate the AI Core. The trade show demonstrated a complete ecosystem from cloud hardware all the way to edge terminals, in cooperation with ADATA's enterprise storage brand TRUSTA, its industrial department, its gaming brand XPG, and its telematics brand ATrack Technology. This alliance aims to establish new standards for high speed computing, edge processing and smart integrated systems.
These hardware collaborations included integrations with worldwide technology pioneers including NVIDIA, Intel, and ASUS. Of particular interest in this collaboration was the new AI Scaler memory storage solution launched by enterprise storage brand TRUSTA and accompanied with an AI Scaler Toolkit. This architecture intelligently divides resources amongst the GPU, DRAM and solid state drives thus diminishing reliance on expensive and limited supply graphics processors from corporations. The firm claims it has reduced total system deployment cost for both AI training and inference by over 50 percent, earning the product Best Choice Award 2026.
On the industrial side, ADATA displayed high capacity PCIe Gen5 SSDs, exclusive AI PCs, and intelligent wear devices to optimize industrial processes and edge applications. A prominent demonstration was the AAI robotic arm running on NVIDIA Jetson Thor and integrating with the power of digital twin technology with smart healthcare solutions, exemplifying automatic task processing within a clinical environment without additional delay.
Gaming and consumer division XPG, along with its premium hardware components of DDR5 gaming memory modules, top tier cooling hardware, and power supply units, displayed a lineup of hardware solutions geared towards next generation computing. This particular demonstration addressed increased thermal and power requirements necessitated by localized processing hardware.
Apart from the consumer hardware components, XPG also illustrated practical applications running entirely on localized hardware, which included agentic AI offline assistants on local AI PCs as well as high speed solid state drives, demonstrating how it would be possible to have this kind of software agents running on the device's own resources rather than going through a third party connection, thus improving both data privacy and response times.
