AMD Silo AI has announced a partnership with Robotec.ai, a developer of advanced simulation platforms for robotics applications. This collaboration aims to optimize and scale digital twin and scenario reconstruction workloads specifically for next-generation automotive and robotics systems utilizing AMD Instinct GPUs and the ROCm software stack.
The alliance aligns with Robotec.ai’s mission to promote the development of safe and user-friendly robotics through its open-source, AI-driven digital twin simulation tools. By combining Robotec.ai’s flagship RoSi platform, which serves as an end-to-end tool for developing, training, and testing robotics and autonomous systems, with AMD’s scalable compute platforms, the partnership seeks to push the boundaries of what’s possible in robotics technology.
Empowering Innovation through Open Source
Robotec.ai’s innovative RoSi Sensors, enhanced by the RGS ray-tracing library, provide optimized GPU performance for simulating LiDAR and radar systems. This technological capability allows for rapid testing of intricate multi-sensor configurations, essential for advancing autonomous systems.
According to Michal Niezgoda, CEO and co-founder of Robotec.ai, “Open source empowers customers to evaluate technology on their own terms, inspect code for cybersecurity, and benefit from a community that validates and improves solutions.” He emphasized that proprietary solutions often create dependency on a single vendor’s roadmap, whereas this collaboration with AMD positions Robotec.ai to scale its platform in response to increasing customer demands.
Both companies are committed to expanding the robotics ecosystem by developing open-source solutions, thus accelerating development cycles and fostering opportunities for academic partnerships and contributions from third parties.
Peter Sarlin, CEO and co-founder of AMD Silo AI, stated, “The collaboration with Robotec.ai underscores a shared commitment to open-source innovation.” He added that this partnership empowers customers with digital sovereignty and seamless portability of GPU workloads, ultimately enabling safer and more efficient robotics systems across diverse hardware and environments.
Building an Open Ecosystem for Autonomous Systems
Through its collaboration with Robotec.ai, as well as a previous partnership with Parallel Domain, AMD Silo AI is striving to create an open ecosystem that integrates top-tier software with advanced GPU infrastructure for the autonomous driving and robotics sectors. The focus is on facilitating both cloud- and edge-based deployments of robotic applications.
Additionally, AMD is collaborating with Robotec.ai to test the capabilities of a fully autonomous warehouse robot. This robot leverages agentic AI capabilities to dynamically plan and execute tasks in real time, eliminating the need for hard-coded scripts. It operates solely on AMD Ryzen AI processors designed for embedded systems.
By capitalizing on its extensive experience in delivering end-to-end compute solutions that encompass safety-critical edge devices, digital twin platforms, and AI cloud infrastructure, AMD Silo AI aims to broaden access to high-performance robotics simulation on a global scale.
The partnership signifies a pivotal step for AMD’s Silo AI, which was formed following the acquisition of a Finnish AI lab last year, and it positions both companies at the forefront of innovation in the autonomous systems landscape.
