Innodisk AI Beyond the Edge: Dive into Edge AI Integration

In the AI revolution, Innodisk is not just a supplier — we architect Intelligence as your ideal partner. Harnessing strengths across hardware, software, and system integration, we deliver end-to-end capabilities from cameras and I/O modules to SSDs, DRAM, edge platforms, management tools, and services. With design at our core, we build scalable architectures that form a seamless and efficient pathway for AI deployment, turning vision into reality.

AI is rapidly expanding from cloud to edge, driving enterprise operations from centralized decision-making to real-time edge intelligence. Edge AI combines data processing with intelligent inference, delivering low latency, autonomous control, and privacy protection essential for digital transformation. However, successful AI implementation faces significant challenges. Aetina addresses these through integrated hardware-software platforms and collaborative ecosystems, helping enterprises balance efficiency with flexibility. With an "Edge-first" mindset, Aetina's strategic blueprint enables scalable AI deployments that expand from individual sites to enterprise-wide operations, unlocking comprehensive operational transformation.

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.

In an era of rapid AI development, businesses must take a more proactive approach to overcoming challenges such as labor shortages and fast-changing markets. For the manufacturing sector, this is a critical turning point toward intelligent transformation. This session will share how AI can be leveraged to strengthen enterprise resilience—not only as a built-in capability, but as an outward-expanding force—to fully unlock innovative productivity.

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.

Driving Smart Automation with AI, Digital Twin, and Physical AI, We’re building next-generation automation by integrating AI Robots, Digital Twin Infrastructure, Physical AI Applications, and AI Nose SLM – a Smell Language Model. These technologies are unified under an AI-powered intelligent platform, enabling a closed-loop logistics and material handling system (R2S & S2R) for the semiconductor industry and smart logistics. From day one, the system is designed to make the right decisions early—delivering the optimal solution through AI-driven precision and feedback.

We will explore the impact of edge intelligence on the future of robotics technology, particularly how it serves as a key opportunity for autonomous systems in the context of the AI Shift to the Edge. We will introduce the applications of Vision-Language Models (VLM) and Large Language Models (LLM) on the Jetson platform, showcasing real-time image understanding and natural language control implementations. Additionally, we will analyze how NVIDIA's Isaac ecosystem and the "Three Computers" architecture optimize autonomous system design. Finally, we will discuss the technical advantages of the NVIDIA Jetson AGX Thor platform as a high-performance edge AI platform, revealing the development trends of future robotics technology.

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.

In the AI revolution, Innodisk is not just a supplier — we architect Intelligence as your ideal partner. Harnessing strengths across hardware, software, and system integration, we deliver end-to-end capabilities from cameras and I/O modules to SSDs, DRAM, edge platforms, management tools, and services. With design at our core, we build scalable architectures that form a seamless and efficient pathway for AI deployment, turning vision into reality.

AI is rapidly expanding from cloud to edge, driving enterprise operations from centralized decision-making to real-time edge intelligence. Edge AI combines data processing with intelligent inference, delivering low latency, autonomous control, and privacy protection essential for digital transformation. However, successful AI implementation faces significant challenges. Aetina addresses these through integrated hardware-software platforms and collaborative ecosystems, helping enterprises balance efficiency with flexibility. With an "Edge-first" mindset, Aetina's strategic blueprint enables scalable AI deployments that expand from individual sites to enterprise-wide operations, unlocking comprehensive operational transformation.

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.

In an era of rapid AI development, businesses must take a more proactive approach to overcoming challenges such as labor shortages and fast-changing markets. For the manufacturing sector, this is a critical turning point toward intelligent transformation. This session will share how AI can be leveraged to strengthen enterprise resilience—not only as a built-in capability, but as an outward-expanding force—to fully unlock innovative productivity.

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.

Driving Smart Automation with AI, Digital Twin, and Physical AI, We’re building next-generation automation by integrating AI Robots, Digital Twin Infrastructure, Physical AI Applications, and AI Nose SLM – a Smell Language Model. These technologies are unified under an AI-powered intelligent platform, enabling a closed-loop logistics and material handling system (R2S & S2R) for the semiconductor industry and smart logistics. From day one, the system is designed to make the right decisions early—delivering the optimal solution through AI-driven precision and feedback.

We will explore the impact of edge intelligence on the future of robotics technology, particularly how it serves as a key opportunity for autonomous systems in the context of the AI Shift to the Edge. We will introduce the applications of Vision-Language Models (VLM) and Large Language Models (LLM) on the Jetson platform, showcasing real-time image understanding and natural language control implementations. Additionally, we will analyze how NVIDIA's Isaac ecosystem and the "Three Computers" architecture optimize autonomous system design. Finally, we will discuss the technical advantages of the NVIDIA Jetson AGX Thor platform as a high-performance edge AI platform, revealing the development trends of future robotics technology.

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.