COMPUTEX 2026 showcased three major AI trends shaping the future of edge computing:
- Physical AI driving growth in robotics, industrial automation, transportation, and autonomous systems.
- Agentic AI and edge intelligence moving AI inference closer to where data is generated for faster, more secure decision-making.
- Edge AI Servers bringing datacenter-class AI performance to support multi-modal AI, private LLMs, RAG pipelines, and VLA workloads.
As organizations deploy more AI outside traditional datacenters, they need scalable infrastructure that spans embedded systems, rugged edge computers, and server-class AI platforms. Premio's COMPUTEX showcase reflected this evolution through four key solution categories:
- CT-DPL01 3.5" SBC powered by Intel® Core™ Ultra Series 3 for compact Edge AI deployments.
- NVIDIA Jetson Rugged AI Computers including the JCO-6000-ORN, WCO-3000-ORN, and upcoming WCO-6000-THR for Physical AI applications.
- Industrial Edge AI Workstations KCO-6000-ARL Industrial Edge AI Workstation and VCO-6000-RPL Rugged Edge AI Workstation for scalable AI development and deployment across industrial and harsh environments.
- LLM Edge AI Servers including the LLM-1U-RPL, LLM-2U-AM5, and LLM-3U-AM5 for private AI, multimodal inference, and GPU-accelerated workloads.
Physical AI Momentum at COMPUTEX 2026
Intel: Advancing AI from Cloud to Edge
Intel emphasized the growing importance of AI across cloud, edge, and Physical AI environments. A key theme was hybrid AI computing, where training remains in the cloud while inference increasingly moves to edge devices to improve latency, privacy, and operational efficiency.
Intel Core Ultra Series 3 supports this transition by integrating CPU, GPU, and NPU resources into a single architecture, enabling efficient AI processing for robotics, machine vision, and intelligent edge systems. By reducing the need for separate high-power acceleration, Intel’s integrated architecture helps make edge AI deployments more practical, scalable, and cost-effective.
Premio and Intel: From Embedded AI to Edge AI Workstations
Premio extends Intel's AI vision through deployment-ready platforms that scale from embedded computing to workstation-class AI systems.
Key solutions include:
- CT-DPL01 3.5" SBC for compact AI deployments in robotics and machine vision.
- KCO-6000-ARL Industrial Edge AI Workstation for industrial AI workloads requiring greater performance and expansion.
- VCO-6000-RPL Rugged Edge AI Workstation for high-performance AI workloads deployed in demanding and harsh environments.
- LLM-1U-RPL Edge AI Server for private LLM inference, RAG pipelines, and GPU-accelerated AI applications.
At COMPUTEX, Premio also demonstrated Intel Robotics AI Suite and Metro AI Suite applications, showcasing real-world AI deployments for robotics, smart cities, and transportation.
NVIDIA: Enabling the Next Generation of Agentic AI at the Edge
JetPack 7 and the Evolution of Agentic AI
NVIDIA continues to advance robotics and edge AI with JetPack 7, providing a software foundation for Jetson Orin and Jetson Thor platforms. These capabilities help developers build intelligent systems that can perceive, reason, and act locally, reducing dependency on constant cloud connectivity.
JetPack 7.2 further expands support across the Jetson Orin family and introduces Super Mode for Jetson AGX Orin 32GB, increasing performance for existing deployments. This helps organizations extend the value of current Jetson Orin platforms while preparing for the next generation of Physical AI workloads.
Premio's Rugged NVIDIA Jetson Portfolio 
Premio's NVIDIA Jetson portfolio provides rugged hardware designed for real-world AI deployments across robotics, transportation, industrial automation, and machine vision.
Featured platforms include:
- JCO-6000-ORN for high-performance Jetson AGX Orin deployments.
- WCO-3000-ORN for rugged edge AI applications requiring IP66 protection and advanced connectivity.
- WCO-6000-THR for next-generation NVIDIA Jetson Thor-based Physical AI systems.
These platforms help organizations deploy AI closer to the source of data while maintaining the reliability required for demanding environments.
The Rise of Edge AI Servers for Multimodal and LLM Workloads
A New Compute Tier Between Cloud and Edge
COMPUTEX 2026 highlighted growing demand for AI infrastructure capable of supporting multimodal AI, Agentic AI, private LLMs, and VLA applications. These workloads often require significantly more compute, memory, and GPU resources than traditional embedded systems can provide.
As organizations seek to run AI locally for privacy, security, and low-latency decision-making, Edge AI Servers are emerging as a critical layer between cloud infrastructure and embedded edge devices.
Premio LLM Edge AI Servers
Premio's LLM Edge AI Server portfolio delivers server-class AI performance for organizations deploying advanced AI workloads at the edge.
Available platforms include:
These systems support private LLMs, multimodal AI, RAG pipelines, AI agents, and GPU-accelerated inference while helping reduce cloud dependency and improve data sovereignty.
Explore the LLM Edge AI Server Series>>
Why Premio Matters in the Physical AI Era
AI is becoming more distributed, autonomous, and compute-intensive. Organizations increasingly need infrastructure that supports everything from compact edge inference to rugged Physical AI deployments and server-class AI reasoning.
Premio bridges this gap with a complete portfolio that includes:
- Embedded AI platforms for efficient edge inference.
- Rugged NVIDIA Jetson AI computers for Physical AI applications.
- Industrial and rugged Edge AI Workstations for development and deployment.
- LLM Edge AI Servers for multimodal AI and private LLM workloads.
By aligning with Intel, NVIDIA, and AMD ecosystems, Premio helps customers move from AI development to real-world deployment across robotics, industrial automation, transportation, smart cities, and enterprise AI environments.
Ready to deploy AI at the edge?
Explore Premio's complete portfolio of Embedded AI Computers, NVIDIA Jetson Systems, Edge AI Workstations, and LLM Edge AI Servers to find the right platform for your next AI deployment.
Contact Us!
Trust Premio Inc. as your partner for rugged computing solutions. To discuss your current project or explore customized solutions, visit premioinc.com or contact us at sales@premioinc.com.
Frequently Asked Questions
What is Agentic AI?
Agentic AI refers to autonomous AI systems capable of planning, reasoning, using tools, and executing tasks independently rather than simply responding to prompts.
What is Physical AI?
Physical AI extends intelligence into the real world, enabling machines and robots to perceive, understand, and interact with physical environments.
Why is Edge AI important for Physical AI?
Physical AI requires real-time decision making. Processing data locally at the edge minimizes latency, improves reliability, and enhances security.
How does Premio support Physical AI deployments?
Premio develops rugged Edge AI computers, workstations, and servers that enable advanced AI processing in harsh and mission-critical environments.
What industries benefit from rugged Edge AI computing?
Manufacturing, transportation, energy, smart cities, defense, logistics, autonomous robotics, and industrial automation all benefit from rugged Edge AI infrastructure.