Bringing AI and real-time control together
This is precisely where the new Intel® Core™ Ultra Series 3 processors come into play. By integrating CPU, GPU, and NPU resources into a single platform, they enable the parallel execution of AI, vision, and control workloads. As a result, developers can consolidate perception, decision-making, and motion control onto a common computing architecture rather than relying on multiple specialized processors.
The hybrid-core architecture allows different workloads to be assigned efficiently, including:
- Real-Time control and motion
- Real-Time Communication (TSN)
- Enhanced Functional Safety (FuSa)
- Computer vision and object detection
- Simultaneous Localization and Mapping (SLAM)
- Multi-sensor fusion
- Local AI inference and language models
- Background and system-management tasks
The result is a platform capable of delivering both high performance and energy efficiency for next-generation robotics and automation systems.
Designed for Physical AI at the Edge
While AI models are often trained in the cloud, inference increasingly takes place locally. Low latency, data privacy requirements, and the need for deterministic responses make edge-based intelligence essential for modern robotic applications.
With integrated AI acceleration delivering up to 180 TOPS across CPU, GPU and NPU, alongside additional Intel® Arc™ graphics capabilities, Intel® Core™ Ultra Series 3 processors support demanding edge-AI workloads such as:
- Real-Time object recognition
- Visual navigation
- SLAM and spatial awareness
- Multi-camera processing
- Predictive maintenance
- On-device vision and language models
The OpenVINO™ Physical AI Suite brings Physical AI to life. Built on a unified Intel platform, the suite combines modular tools for vision, control, and AI inference, accelerating integration and deployment.
By enabling AI workloads directly on the device, robotic systems can react faster, reduce bandwidth requirements, and operate independently of a continuous cloud connection.
From Autonomous Mobile Robots to Humanoids
Robotics requirements are evolving rapidly. Beyond traditional industrial automation, autonomous mobile robots (AMRs), logistics systems, service robots, and future humanoid platforms are driving demand for increasingly sophisticated edge computing capabilities. To support these emerging applications, developers require three key elements:
- Deterministic real-time performance
- Scalable AI processing capabilities
- Long-term platform availability
- Hybrid-core architecture for parallel AI, vision, and real-time control workloads
- Integrated CPU, GPU, and NPU on a single platform
- Hardware and firmware support for enhanced functional safety
- Up to 180 TOPS of AI performance
- Intel® Arc™ graphics options for demanding vision applications
- Optimized for SLAM, object detection, and multi-sensor fusion
- Support for proven and robust robotics frameworks
- OpenVINO™ Physical AI Suite enabling robots to see, move, and decide at the edge
- Multi-camera support for autonomous systems
- Industrial-grade reliability for demanding environments
- Available from Rutronik at www.rutronik24.com
Intel® Core™ Ultra Series 3 processors address all three. In addition, support for scalable open-source frameworks for robotics such as ROS 2 and modern edge-AI environments helps accelerate development cycles and reduce time-to-market for new robotic solutions.
The Future of Robotics Is Built at the Edge
As the industry transitions from conventional automation to Physical AI, embedded computing is taking on a fundamentally new role. Future robotic systems must be capable of understanding their environment, making intelligent decisions, and acting in real time.
Intel® Core™ Ultra Series 3 processors provide the foundation for this transformation by combining AI acceleration, computer vision, real-time control, and advanced connectivity within a unified architecture. The result is a scalable platform designed to power the next generation of autonomous machines.
Key Facts
- Hybrid-core architecture for parallel AI, vision, and real-time control workloads
- Integrated CPU, GPU, and NPU on a single platform
- Hardware and firmware support for enhanced functional safety
- Up to 180 TOPS of AI performance
- Intel® Arc™ graphics options for demanding vision applications
- Optimized for SLAM, object detection, and multi-sensor fusion
- Support for proven and robust robotics frameworks
- OpenVINO™ Physical AI Suite enabling robots to see, move, and decide at the edge
- Multi-camera support for autonomous systems
- Industrial-grade reliability for demanding environments
- Available from Rutronik at www.rutronik24.com
For more information to the Intel® Core™ Ultra Series 3 and a direct ordering option, please visit our e-commerce platform at www.rutronik24.com. |
Contact Rutronik:
| Torsten Maßholder | Line Manager | +49 7231 801 1523 | torsten.massholder@rutronik.com |