AMD Silo AI has announced a partnership with Robotec.ai to create an open ecosystem aimed at advancing autonomous systems and robotics. This collaboration focuses on optimizing and scaling workloads related to digital twin and scenario reconstruction for next-generation automotive and robotics applications, utilizing AMD Instinct GPUs alongside the ROCm software stack.
By aligning with Robotec.ai’s mission, AMD Silo AI seeks to enhance the safety and usability of robotics through the use of open-source, AI-driven digital twin simulation tools. This initiative builds on Robotec.ai’s existing work with the AMD Kria System on Module (SOM), integrating the company’s flagship RoSi platform. This platform serves as a comprehensive tool for the development, training, and testing of robotics and autonomous systems.
Optimizing Robotics Performance Through Collaboration
Robotec.ai’s RoSi Sensors, which leverage the RGS ray-tracing library, offer optimized GPU performance for simulating LiDAR and radar systems. This technology facilitates the rapid testing of intricate multi-sensor configurations, vital for advancing robotics capabilities. 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.”
Niezgoda emphasizes that reliance on proprietary solutions can limit innovation, stating, “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.” This collaboration not only aims to enhance individual robotics systems but also seeks to expand the entire robotics ecosystem through open-source solutions and accelerated development cycles.
Peter Sarlin, CEO and co-founder of AMD Silo AI, commented on the partnership’s significance: “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.”
Building a Comprehensive Robotics Ecosystem
The partnership aligns with AMD Silo AI’s broader objective of fostering an open ecosystem for autonomous systems and robotics. Previous collaborations, including one with Parallel Domain, illustrate AMD’s dedication to working alongside leading companies and the scientific research community. Together, they aim to integrate top-tier software with cutting-edge GPU infrastructure tailored for the robotics and autonomous driving industries.
A significant area of focus will be on developing cloud- and edge-based deployments of robotic applications. AMD is collaborating with Robotec.ai to evaluate the capabilities of a fully autonomous warehouse robot. This robot utilizes advanced AI technologies to dynamically plan and execute tasks in real time, without relying on hard-coded scripts, and operates exclusively on AMD Ryzen AI processors designed for embedded systems.
By leveraging its extensive experience in providing end-to-end compute solutions that span safety-critical edge devices, digital twin platforms, and AI cloud infrastructure, AMD Silo AI is committed to broadening access to high-performance robotics simulation on a global scale. The Finnish AI lab, which was acquired by AMD last year, is poised to lead innovations in this rapidly evolving field.
As the collaboration between AMD Silo AI and Robotec.ai unfolds, it promises to drive significant advancements in robotics technology, ultimately contributing to the development of safer, more efficient systems that are better aligned with human needs.
