AMD and Robotec.ai Unite to Advance Autonomous Robotics Ecosystem
AMD Silo AI has announced a partnership with Robotec.ai, a developer specializing in simulation platforms for robotics applications. This collaboration aims to create an open ecosystem for autonomous systems and robotics, focusing on optimizing and scaling digital twin and scenario reconstruction workloads. The integration will utilize AMD Instinct GPUs paired with the ROCm software stack to enhance next-generation automotive and robotics systems.
The initiative aligns with Robotec.ai’s mission to promote safe, human-friendly robotics. By leveraging Robotec.ai’s open-source, AI-driven digital twin simulation tools, AMD Silo AI seeks to advance its capabilities in robotics development. This partnership builds on Robotec.ai’s work with the AMD Kria System on Module (SOM), combining their flagship RoSi platform, which provides an end-to-end solution for developing, training, and testing robotics and autonomous systems, with AMD’s robust computing infrastructure.
Robotec.ai’s RoSi Sensors, utilizing the RGS ray-tracing library, is designed to deliver optimized GPU performance for simulating LiDAR and radar systems. This technology allows for rapid testing of complex multi-sensor configurations, which is crucial for advancing robotics capabilities.
Empowering Open-Source Innovation
In a statement, Michal Niezgoda, CEO and co-founder of Robotec.ai, emphasized the importance of open-source technology. He stated, “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.” Niezgoda highlighted that proprietary solutions can limit users to a single vendor’s priorities, whereas the collaboration with AMD Silo AI enables scalability to meet growing customer demands.
Both companies are focused on expanding the robotics ecosystem through the development of open-source solutions. This approach aims to accelerate development cycles and foster opportunities for academic collaborations and contributions from third parties. Peter Sarlin, CEO and co-founder of AMD Silo AI, remarked on the shared commitment to open-source innovation, stating, “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.”
Building a Comprehensive Robotics Ecosystem
The collaboration with Robotec.ai is part of AMD Silo AI’s broader strategy to establish an open ecosystem for autonomous systems. This initiative includes partnerships with leading companies in autonomous driving, robotics, and simulation, such as Parallel Domain. By combining top-tier software with cutting-edge GPU infrastructure, AMD aims to support both cloud and edge-based deployments of robotic applications.
Further, the partnership will focus on testing the capabilities of the first fully autonomous warehouse robot. This robot employs agentic AI capabilities to dynamically plan and execute tasks in real-time, running exclusively on AMD Ryzen AI processors designed for embedded systems.
By leveraging its extensive experience in end-to-end compute solutions, spanning safety-critical edge devices, digital twin platforms, and AI cloud infrastructure, AMD Silo AI is dedicated to enhancing access to high-performance robotics simulation on a global scale. The Finnish AI lab, which was acquired by AMD last year, continues to push the boundaries of what is possible in the field of robotics.
