Designed for factories, hospitals, and robotics teams, the platforms bring server class AI performance to edge environments without data centre reliance.
As edge AI deployments move from pilot projects to full scale production, industries are increasingly demanding server class performance outside the data centre. Real time vision systems, on site generative AI, and advanced analytics require high compute density, low latency, and long term reliability directly at the edge, especially in environments such as factories, hospitals, and robotics deployments. Traditional edge platforms are often unable to handle these compute intensive workloads without compromising performance or scalability.
ADLINK Technology has now expanded its edge AI portfolio with a server class platforms powered by Intel Xeon 600 processors for workstations. The line-up includes the ISB W890 server board along with three GPU accelerated edge AI servers AXE 7440GW, AXE 7420GWA, and AXE 7220GW. Together, these systems are designed to extend edge AI capabilities into high end real time vision processing, large scale analytics, and generative AI inference.
The platforms are built to give system integrators and enterprises flexibility across form factors and deployment scenarios. The ISB W890 server board provides a foundation for high performance workstations with extensive I O and multi GPU scalability. The AXE GPU servers translate this capability into ruggedized 2U and 4U edge systems that support intensive AI workloads while meeting industrial reliability requirements. By combining Intel Xeon compute with GPU acceleration, the systems streamline the transition from AI development to deployment, reducing integration complexity and accelerating time to market.
Key highlights of the lineup include:
- Server class edge AI platforms
- Powered by Intel Xeon 600 processors
- Support real time vision, advanced analytics, and Gen AI workloads
- Scalable architectures ranging from CEB server boards to 2U and 4U GPU servers
- Multi GPU support for LLMs and multimodal AI at the edge
- Industrial grade design for mission critical and long lifecycle deployments
Eric Kao, General Manager of ADLINK’s Net and Com and Automotive Business, says, “As AI workloads at the edge grow in complexity, this expanded lineup empowers customers to precisely match compute power and form factor to their operational needs, ensuring seamless scalability at every stage of their AI evolution.”
