宜鼎集团AI Beyond The Edge: 深入剖析边缘 AI生态协同与应用

在 AI 浪潮中，Innodisk 不仅是供应商，更是您的最佳合作伙伴。我们将以 “智慧建筑师” 为定位，全面剖析硬件、软件及系统整合等各层面的优势。从 Camera、I/O、SSD、DRAM，到边缘计算平台、管理工具与服务，以 “设计” 为核心，打造 “高扩展性架构“（Scalable Architectures），贯通一条顺畅的 AI 落地之路。

AI 正从云端迅速扩展至边缘，推动企业运营从集中式决策转向现场实时智能。边缘 AI 结合实时处理与智能推理，满足低时延、自主决策与隐私保护等需求，成为企业数字化转型的关键驱动力。然而，AI 真正落地仍面临挑战，Aetina 通过软硬件整合平台与多元合作生态圈，协助企业在效率与弹性之间取得平衡。以 “Edge-First” 思维，从现场扩展至全局，打造可规模化的 AI 应用，实现运营全面升级。

AI innovation often starts where the constraints are toughest – at the edge, where power, cost, and latency leave no margin for inefficiency. In this keynote, Fabrizio Del Maffeo, CEO of Axelera AI, shares how the company’s Metis AI platform and Voyager SDK deliver high-performance, low-power inference that makes advanced computer vision possible in the most demanding edge environments. He will explore how this edge-first foundation naturally scales “beyond the edge” into larger, more complex deployments – from connected factories and smart cities to enterprise and data center workloads. Attendees will gain insight into Axelera AI’s technology roadmap, including the upcoming Titania platform, and learn how an edge-to-cloud approach can unlock new opportunities for efficiency, scalability, and accessibility in AI.

在 AI 蓬勃发展的时代，企业更应积极应对缺工、市场等快速变化，制造业也将迎来智慧转型的关键转折点。本次将分享如何以 AI 强化企业韧性，让 AI 不仅内建，更能外延，全面释放创新生生产力！

As edge AI continues to evolve, collaboration across the ecosystem is becoming essential to drive innovation and scalability. This presentation explores how synergy among system builders, software developers, and industry partners can unlock new global opportunities in edge AI. We will highlight how Intel is working closely with the ecosystem to deliver impactful solutions and drive more sustainable outcomes worldwide.

以 "AI、数字孪生、Physical AI" 为主轴，导入 AI Robot、数字孪生 AI 基础设施、Physical AI、AI Nose SLM 嗅觉语言模型等应用方案，并以AI驱动的智慧平台，提供智慧物流及半导体自动化物料搬运系统 R2S、S2R 的 Close Loop 架构，从源头做出正确决策，找出最佳解。

我们将探讨边缘智能对机器人技术未来的影响，特别是在 AI 向边缘延伸（AI Shift to the Edge）的背景下，如何成为自主型系统的关键契机。我们将介绍视觉语言模型（VLM）和大规模语言模型（LLM）在 Jetson 平台上的应用，展示实时画面理解及自然语言控制的实现，并分析 NVIDIA 的 Isaac 生态系统和 “Three Computers” 架构如何优化自主系统设计。最后，我们将探讨 NVIDIA Jetson AGX Thor 平台作为高性能边缘AI平台的技术优势，揭示未来机器人技术的发展趋势。

As AI continues to evolve from centralized cloud deployments to distributed edge intelligence, the ability to scale inferencing across diverse environments—securely, efficiently, and affordably—is becoming mission-critical. This session explores how Qualcomm is driving this transformation by converging advanced AI capabilities with its Dragonwing Product Portfolio. From on-device AI across Dragonwing processors up to cloud-grade performance at the edge using the AI On-Prem Appliance, the Dragonwing portfolio of products and solutions combine heterogeneous compute, optimized AI software, and domain-specific acceleration to achieve exceptional performance per watt and per dollar—unlocking new possibilities for real-time intelligence in everything from smart cameras to industrial automation. Qualcomm’s AI On-Prem Appliance also serves as a powerful platform of choice for deploying Agentic AI at the edge—enabling autonomous, context-aware intelligence with low latency and high efficiency. Join us to discover how Qualcomm is working with the ecosystem to push the boundaries of edge-native AI.

在 AI 浪潮中，Innodisk 不仅是供应商，更是您的最佳合作伙伴。我们将以 “智慧建筑师” 为定位，全面剖析硬件、软件及系统整合等各层面的优势。从 Camera、I/O、SSD、DRAM，到边缘计算平台、管理工具与服务，以 “设计” 为核心，打造 “高扩展性架构“（Scalable Architectures），贯通一条顺畅的 AI 落地之路。

AI 正从云端迅速扩展至边缘，推动企业运营从集中式决策转向现场实时智能。边缘 AI 结合实时处理与智能推理，满足低时延、自主决策与隐私保护等需求，成为企业数字化转型的关键驱动力。然而，AI 真正落地仍面临挑战，Aetina 通过软硬件整合平台与多元合作生态圈，协助企业在效率与弹性之间取得平衡。以 “Edge-First” 思维，从现场扩展至全局，打造可规模化的 AI 应用，实现运营全面升级。

AI innovation often starts where the constraints are toughest – at the edge, where power, cost, and latency leave no margin for inefficiency. In this keynote, Fabrizio Del Maffeo, CEO of Axelera AI, shares how the company’s Metis AI platform and Voyager SDK deliver high-performance, low-power inference that makes advanced computer vision possible in the most demanding edge environments. He will explore how this edge-first foundation naturally scales “beyond the edge” into larger, more complex deployments – from connected factories and smart cities to enterprise and data center workloads. Attendees will gain insight into Axelera AI’s technology roadmap, including the upcoming Titania platform, and learn how an edge-to-cloud approach can unlock new opportunities for efficiency, scalability, and accessibility in AI.

在 AI 蓬勃发展的时代，企业更应积极应对缺工、市场等快速变化，制造业也将迎来智慧转型的关键转折点。本次将分享如何以 AI 强化企业韧性，让 AI 不仅内建，更能外延，全面释放创新生生产力！

As edge AI continues to evolve, collaboration across the ecosystem is becoming essential to drive innovation and scalability. This presentation explores how synergy among system builders, software developers, and industry partners can unlock new global opportunities in edge AI. We will highlight how Intel is working closely with the ecosystem to deliver impactful solutions and drive more sustainable outcomes worldwide.

以 "AI、数字孪生、Physical AI" 为主轴，导入 AI Robot、数字孪生 AI 基础设施、Physical AI、AI Nose SLM 嗅觉语言模型等应用方案，并以AI驱动的智慧平台，提供智慧物流及半导体自动化物料搬运系统 R2S、S2R 的 Close Loop 架构，从源头做出正确决策，找出最佳解。

我们将探讨边缘智能对机器人技术未来的影响，特别是在 AI 向边缘延伸（AI Shift to the Edge）的背景下，如何成为自主型系统的关键契机。我们将介绍视觉语言模型（VLM）和大规模语言模型（LLM）在 Jetson 平台上的应用，展示实时画面理解及自然语言控制的实现，并分析 NVIDIA 的 Isaac 生态系统和 “Three Computers” 架构如何优化自主系统设计。最后，我们将探讨 NVIDIA Jetson AGX Thor 平台作为高性能边缘AI平台的技术优势，揭示未来机器人技术的发展趋势。

As AI continues to evolve from centralized cloud deployments to distributed edge intelligence, the ability to scale inferencing across diverse environments—securely, efficiently, and affordably—is becoming mission-critical. This session explores how Qualcomm is driving this transformation by converging advanced AI capabilities with its Dragonwing Product Portfolio. From on-device AI across Dragonwing processors up to cloud-grade performance at the edge using the AI On-Prem Appliance, the Dragonwing portfolio of products and solutions combine heterogeneous compute, optimized AI software, and domain-specific acceleration to achieve exceptional performance per watt and per dollar—unlocking new possibilities for real-time intelligence in everything from smart cameras to industrial automation. Qualcomm’s AI On-Prem Appliance also serves as a powerful platform of choice for deploying Agentic AI at the edge—enabling autonomous, context-aware intelligence with low latency and high efficiency. Join us to discover how Qualcomm is working with the ecosystem to push the boundaries of edge-native AI.