 
                AMD Silo AI has announced a strategic collaboration with Robotec.ai, a developer specializing in simulation platforms for robotics applications. This partnership aims to optimize and scale workloads for digital twins and scenario reconstruction essential for next-generation automotive and robotics systems utilizing AMD Instinct GPUs alongside the ROCm software stack.
As part of this initiative, AMD Silo AI is committed to advancing human-friendly robotics through Robotec.ai’s open-source, AI-driven digital twin simulation tools. This collaboration builds upon Robotec.ai’s previous work with the AMD Kria System on Module (SOM), integrating their flagship RoSi platform. The RoSi platform serves as an end-to-end tool for developing, training, and testing robotics and autonomous systems, leveraging the robust computing capabilities offered by AMD.
The partnership is particularly focused on enhancing LiDAR and radar simulation through Robotec.ai’s RoSi Sensors, which utilize the RGS ray-tracing library. This technology delivers optimized GPU performance, facilitating rapid testing of intricate multi-sensor configurations essential for modern autonomous systems.
Strengthening Open-Source Innovation
According to Michal Niezgoda, CEO and co-founder of Robotec.ai, the open-source approach enables customers to evaluate technology independently, inspect code for cybersecurity purposes, and benefit from a validating community. He emphasized, “With proprietary solutions, you’re dependent on a single vendor’s roadmap and priorities. With AMD Silo AI, we can scale our platform to meet the growing demand from our customers.”
Both companies share a vision of expanding the robotics ecosystem by developing open-source solutions that accelerate development cycles. This collaboration also opens avenues for academic partnerships and third-party contributions, further enriching the technological landscape.
In a statement, Peter Sarlin, CEO and co-founder of AMD Silo AI, remarked, “The collaboration with Robotec.ai underscores a shared commitment to open-source innovation. A commitment that empowers customers with digital sovereignty and seamless portability of GPU workloads, enabling safer, more efficient robotics systems across diverse hardware and environments.”
Advancing Autonomous Systems
The collaboration exemplifies AMD Silo AI’s ongoing efforts to create an open ecosystem for autonomous systems and robotics. This initiative is reflected in their previous partnership with Parallel Domain, where they worked with leading companies in autonomous driving, robotics, and simulation, as well as the scientific research community. Together, they aim to combine best-in-class software with cutting-edge GPU infrastructure tailored for the autonomous and robotics industries.
In addition to their current efforts, AMD is working with Robotec.ai to evaluate the capabilities of the first fully autonomous warehouse robot. This robot utilizes agentic AI to dynamically plan and execute tasks in real time, eliminating the need for hard-coded scripts. It operates exclusively on AMD Ryzen AI processors, tailored for embedded systems.
By leveraging its extensive experience in providing end-to-end computing solutions that span safety-critical edge devices, digital twin platforms, and AI cloud infrastructure, AMD Silo AI is poised to enhance global access to high-performance robotics simulation. Notably, Silo AI was a Finnish AI lab acquired by AMD in 2022, further solidifying the company’s commitment to innovation in this rapidly evolving field.
 
                             
                             
                             
                             
                             
                             
                            