IBASE and AMD Expand Physical AI Collaboration

IBASE Technology and AMD are expanding their cooperation to support the development of physical AI systems through edge computing platforms designed for robotics and industrial automation. The collaboration combines AMD's heterogeneous embedded computing architecture with IBASE's industrial edge computing expertise to enable AI processing in demanding operational environments.

Applications and Industrial Context
The collaboration targets industrial robotics, autonomous machines, automotive systems, and other edge AI applications requiring real-time perception, deterministic computing, and long-term system availability. These sectors increasingly require local AI processing to reduce latency, improve operational reliability, and maintain continuous operation without relying on cloud connectivity.

Partner Roles and Technical Responsibilities
AMD provides the embedded processing platform through its Ryzen AI Embedded X100 Series processors, integrating multi-core Zen 5 CPUs, XDNA 2 neural processing units, and RDNA 3.5 graphics processors into a heterogeneous computing architecture. This combination enables AI inference, graphics acceleration, and conventional processing to operate simultaneously.

IBASE contributes its industrial edge AI computing platform by integrating the AMD embedded processors into the AA700 robotics edge computer. The company is responsible for system integration, industrial-grade hardware design, and delivering platforms suitable for continuous operation in industrial environments with extended product lifecycle support.

Technical Solution
The AA700 platform combines up to 16 Zen 5 CPU cores, an XDNA 2 NPU capable of delivering up to 50 TOPS for AI inference, and RDNA 3.5 graphics providing up to 60 TFLOPS of compute performance. The architecture supports workloads such as machine perception, scene analysis, and autonomous decision-making while maintaining deterministic system behavior required for industrial automation.

According to KV Thanjavur Bhaaskar, Robotics Lead at AMD: "The AMD Robotics Partner Network is designed to help partners such as IBASE accelerate the development of physical AI systems through an open and scalable ecosystem spanning edge to cloud. It enables a unified approach to robotics innovation that combines hardware, software, and ecosystem collaboration. Advancing robotics requires a balanced approach to performance, real-time determinism, and AI acceleration. AMD is enabling this through a heterogeneous compute platform purpose built for industrial scale physical AI deployments."

Deployment and Ecosystem Integration
The cooperation was presented during AMD Advancing AI 2026, held on July 22–23, 2026, in San Francisco, California, USA, where IBASE demonstrated its robotics edge AI platform as part of the AMD Robotics Partner Network. The ecosystem approach supports interoperability between hardware, software, and AI development tools, allowing manufacturers to integrate edge AI systems into existing digital infrastructure.

Expected Impact
The collaboration provides industrial equipment manufacturers with an integrated hardware platform that combines embedded AI acceleration, deterministic processing, and long-term platform support. By combining AMD's embedded computing technologies with IBASE's industrial system expertise, the partnership aims to simplify the deployment of scalable physical AI solutions across industrial automation and intelligent robotics applications.

Edited by Sucithra Mani, Induportals editor – adapted by AI.

www.ibase.com.