EVERYWHERE

Agentic AI is reshaping cloud infrastructure as applications move beyond model inference to continuously plan, reason, use tools, and act across complex software environments. In this panel, Arm and leading China ecosystem partners will discuss the compute, system, and deployment requirements of this new era-and how Arm AGI CPU is designed to meet them. Attendees will hear why partners are collaborating around Arm AGI CPU to deliver scalable AI system execution, efficient rack-scale infrastructure, and production-ready platforms for the next generation of agentic cloud services.

Robotics are advancing at remarkable speed, with innovations moving from isolated industrial deployments to becoming more and more integrated within society. How these evolving robotics capabilities can be described, realised, deployed and then trusted will be central to successful integration at scale, without fragmenting the technology ecosystem.

In this panel, leading robotics partners will discuss how shared understanding can help overcome these barriers, why they are collaborating on this new common robotics framework, and where this could create the greatest value. The conversation will explore priorities for the robotics ecosystem, including faster commercialisation, and scaling physical AI from breakthrough prototypes into dependable real-world systems.

AI is evolving beyond answering prompts to understanding context, coordinating across applications, and taking action on users’ behalf. As agentic AI expands across mobile devices and PCs, it is driving new demands for heterogeneous computing and more responsive, private, and efficient AI experiences.

This panel brings together silicon partners, OEMs, and ecosystem leaders to discuss how Arm collaboration is enabling the next generation of edge AI, from AI-native smartphones to emerging Agentic PCs.

Agentic AI is transforming software development from integrating a single large model to engineering intelligent systems that orchestrate multiple specialized models, runtimes, data sources, memory and workflows. Developers need the freedom to choose the right technologies, move quickly from experimentation to production and deploy wherever applications deliver the best balance of performance, efficiency and cost.

In this session, software leaders from Arm and across China’s AI ecosystem will examine how frameworks, tools and common standards can remove friction throughout the development lifecycle. They will discuss how an open, collaborative ecosystem expands developer choice, enabling seamless deployment from cloud to edge, and helping agentic innovation reach production securely and efficiently.

Agentic AI is extending artificial intelligence beyond generating responses toward systems that can interpret goals, use tools and data, and adapt to changing conditions. This shift expands AI from a model-centric capability into a broader systems challenge. Its impact will extend across the computing continuum. Cloud platforms will support complex, persistent, and large-scale workflows, while edge systems will enable lower latency, greater privacy and personalization. Robotics brings these requirements together in a demanding form, combining perception, planning, and physical action under real-time, safety, and reliability constraints.

In this session, leaders from across China’s technology ecosystem will examine where agentic AI is creating practical value, which use cases are likely to scale next, and what technical advances are needed. By connecting real-world applications with the underlying system requirements, the panel will offer a practical view of how agentic AI can move from experimentation to dependable deployment at scale.

As AI infrastructure evolves, silicon developers must deliver more performance, greater efficiency, and differentiated system capabilities on increasingly compressed schedules. This session will introduce the latest Neoverse CSS platform and show how it enables unparalleled time to market and flexibilty for designing high performance, scalable infrastructure silicon for cloud and AI data centers. Arm and Synopsys will also explore how CSS-validated third-party IP, early system integration, and shift-left methodologies can reduce design risk, accelerate software and hardware validation, and shorten the path from architecture to production silicon.

The future of AI lies in intelligent machines that can understand and interact with the physical world. Physical AI combines perception, reasoning and action to enable robots, vehicles and autonomous systems capable of operating safely and efficiently in real-world environments. In these systems, latency from sensed photon to torque becomes a defining metric, where every gram matters.

Delivering the next generation of Physical AI systems requires far more than breakthrough silicon. It demands tightly integrated hardware, software, tools and system expertise working together across a broad ecosystem. Arm is bringing together industry leaders to create purpose-built solutions for robotics and automotive, optimized on the Arm platform to reduce complexity, accelerate development and enable innovation at scale.

Architecting power-efficient AI glasses and XR devices for all-day, context-aware intelligence.

AI is creating unprecedented demand for compute, but its value lies in what people and businesses can accomplish with it. Meeting the needs of the next era will require platforms that can support diverse workloads, deployment environments and power envelopes while balancing performance, efficiency and cost.

In this panel, Arm and leaders from China’s technology ecosystem will discuss how system-level innovation can unlock the next wave of intelligent computing. They will explore the role of Arm CPUs in orchestrating memory, data movement and accelerator utilization in agentic systems, how partners can build differentiated solutions on a common foundation, and why platform flexibility and ecosystem collaboration are essential to enable innovation from cloud to edge to the physical world.