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Physical AI Industrial Computers
Where AI Meets the Physical World
Introducing Physical AI
Physical AI is where artificial intelligence escapes the cloud and enters the real world—enabling machines to perceive, decide, and act in real time. It powers the intelligence behind autonomous robots, smart vehicles, and connected infrastructure by combining AI models with real-world sensors and control systems at the edge.
Start Your Physical AI Transformation
Getting started with Physical AI involves three core steps: simulating your environment, training and validating AI models, and deploying those models at the edge. Premio enables this final step with industrial-grade edge computers built for reliable, real-time AI performance in demanding physical conditions.
Bringing Physical AI to Life with Premio
Physical AI takes shape when trained models are deployed on edge hardware built for real-world demands. Premio’s industrial computers are engineered to run AI workloads reliably at the edge—with the performance, durability, and flexibility needed to process data in real time and turn intelligence into action.
Why Physical AI is Accelerating Now
Physical AI is emerging as the next frontier in automation. Gartner’s 2025 AI Hype Cycle points to multimodal AI, AI-ready data, and autonomous agents as critical drivers of growth. The real breakthrough comes when trained models move from the cloud to the industrial edge, running next to sensors and machines to deliver responsiveness, reliability, and trust in real-world environments.
The Edge Advantage:
- Instant Responsiveness – Real-time decisions without cloud latency
- Operational Continuity – AI systems keep running even if networks fail
- Trusted Security – Sensitive data stays local and protected
- Adaptive Intelligence – Edge systems learn and improve in real-world conditions
“Physical AI development stands at a crossroads between two revolutionary paradigms: the speed of GPU-accelerated simulation and the promise of self-supervised world models. Product leaders must prioritize investments in the proven simulation approach for near-term gains while preparing for the transformative potential of world models in the long run.”
- Gartner
Explore Premio Key Technologies for Physical AI
Edge AI Accelerators
Configure your Edge AI accelerators to run LLMs, SLMs, and inference for faster, more efficient Physical AI deployments.
EDGEBoost Modularity
Precisely scale and tailor deployment high-connectivity and performance requirements with modular EDGEBoost technologies.
Remote Management & Connectivity
Keep industrial systems connected and under supervision with remote management and 5G-ready computing.
Operational Reliability
Withstand power fluctuations, extreme temperatures, dust, and constant shock or vibration in harsh industrial environments.
Discover Key Applications of Industrial Physical AI
Explore the four key application quadrants of Industrial Physical AI and see how Premio hardware enables intelligence at the edge.
Why Choose Premio
An ‘Inside Outsource’ To Your Success
With 30+ years of embedded manufacturing, Premio emphasizes its specialty in highly reliable and rugged edge computing hardware for Industry 4.0 deployment applications. Our dedicated teams ensure Premio provides swift time-to-market solutions with our global turnkey manufacturing and support infrastructure for scalable deployment.
- State-of-the-art facility in Los Angeles, California (ISO9001, ISO14001, ISO13485)
- Regulatory testing and compliance for North American market
- In-house burn-in testing and simulation chambers
- Dedicated support and supply chain teams to navigate disruptions
Real-World Digital Transformation Case Studies
From production inefficiencies to quality control bottlenecks, these organizations integrated rugged edge computing solutions to successfully enable their deployment applications. Explore how these forward-thinking organizations adopted Industry 4.0 manufacturing technologies to address major pain points and optimize their productivity.
Physical AI Decision Toolkits
Decision Toolkits guide you through the key steps to identify the right industrial AI computer for specific Industrial Physical AI use cases.
