MulticoreWare advances physical AI on AMD platforms

Key Takeaways

• MulticoreWare collaborates with AMD to advance autonomous robotics and edge intelligence on AMD platforms
• The partnership enables real-time robotic intelligence on AMD Ryzen AI Embedded platforms
• AMD and MulticoreWare demonstrate multimodal VLA models running on AMD Ryzen AI Embedded integrated GPUs
• The collaboration aims to bring advanced perception, reasoning, and action capabilities to AMD-powered systems
• MulticoreWare provides software optimization, AI, and engineering expertise across the AMD ecosystem

Introduction to MulticoreWare and AMD Collaboration

MulticoreWare, Inc. has announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms. This partnership aims to enable real-time robotic intelligence on AMD Ryzen AI Embedded platforms, which is a crucial step in bringing artificial intelligence (AI) from the cloud to robots, autonomous systems, and intelligent edge devices.

Enabling Physical AI on AMD Platforms

At the AMD Advancing AI 2026 event, AMD and MulticoreWare presented a session on "Enabling Physical AI on AMD," showcasing how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen AI Embedded platforms. The demonstration highlighted the use of multimodal VLA models running on AMD Ryzen AI Embedded integrated GPUs using AMD ROCm, enabling robots to perceive, reason, and act in real-time.

Comparison of AMD and MulticoreWare Solutions

Benefits of the Collaboration

The collaboration between AMD and MulticoreWare brings numerous benefits, including:

Advanced Perception, Reasoning, and Action Capabilities

The partnership enables developers to bring advanced perception, reasoning, and action capabilities to AMD-powered systems, which is essential for autonomous robotics and edge intelligence applications.

Efficient AI Model Deployment

MulticoreWare's software optimization expertise helps developers deploy sophisticated AI models closer to where decisions need to be made, reducing latency and improving overall system efficiency.

Conclusion

The collaboration between AMD and MulticoreWare is a significant step forward in advancing autonomous robotics and edge intelligence on AMD platforms. With over 15 years of partnership, MulticoreWare has delivered software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen AI, Ryzen, AMD EPYC, AMD Instinct, AMD Radeon, and adaptive computing technologies.

Bottom Line

The partnership between AMD and MulticoreWare is poised to revolutionize the field of autonomous robotics and edge intelligence by enabling real-time robotic intelligence on AMD Ryzen AI Embedded platforms. With the demonstration of multimodal VLA models running on AMD Ryzen AI Embedded integrated GPUs, developers can now build next-generation intelligent machines with advanced perception, reasoning, and action capabilities. As the demand for autonomous systems and intelligent edge devices continues to grow, the collaboration between AMD and MulticoreWare is expected to play a significant role in shaping the future of AI and robotics.