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 Beyond Automation:

Powering Physical AI & Robotics


Robotics is transitioning from experimental pilots to real-world deployment as industries face increasing pressure to improve efficiency, consistency, and scalability

Why Robotics Matters Now

What was once limited to controlled environments is now being applied across manufacturing, logistics, and AI-driven operations. This shift reflects a broader change in how organizations view robotics, no longer as a future concept, but as a practical operational tool.
 
At the same time, advances in AI, sensing, and computing have reached a level of maturity that supports wider adoption. Autonomous systems are becoming more capable, more reliable, and easier to integrate into existing workflows. As a result, robotics is entering a phase where deployment decisions are being made today, not postponed for future readiness.
What was once limited to controlled environments is now being applied across manufacturing, logistics, and AI-driven operations. This shift reflects a broader change in how organizations view robotics, no longer as a future concept, but as a practical operational tool.
 
At the same time, advances in AI, sensing, and computing have reached a level of maturity that supports wider adoption. Autonomous systems are becoming more capable, more reliable, and easier to integrate into existing workflows. As a result, robotics is entering a phase where deployment decisions are being made today, not postponed for future readiness.

Robotics Adoption Is Accelerating

Robotics Adoption
Robotics Adoption Mobile

Robotics Applications Driving Real-World Deployment

Robotics Applications Driving Real-World Deployment
Robotics Applications Driving Real-World Deployment Mobile

Why Robotics Needs Purpose-Built IPC Hardware

As robotics systems scale beyond controlled environments, hardware becomes a defining factor in long-term performance and stability. Robotics workloads run continuously, process large volumes of sensor data, and operate under real-time constraints. These demands place sustained pressure on computing, connectivity, power, and thermal design that traditional automation hardware was not designed to handle.

As robotics systems scale beyond controlled environments, hardware becomes a defining factor in long-term performance and stability. Robotics workloads run continuously, process large volumes of sensor data, and operate under real-time constraints. These demands place sustained pressure on computing, connectivity, power, and thermal design that traditional automation hardware was not designed to handle.

AI Compute Platforms for Robotics Workloads

AI Compute Platforms for Robotics Workloads Powered By NVIDIA Jetson
AI Compute Platforms for Robotics Mobile

As an NVIDIA® preferred partner, EverFocus offers a range of NVIDIA Jetson–based compute options to support diverse robotics and physical AI workloads. These platforms are designed to address varying performance requirements, power budgets, and form factor constraints, enabling system integrators and developers to select the appropriate hardware foundation for their deployment needs.

Explore EverFocus Robotics Compute Platforms

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NVIDIA Jetson Thor EAR-100T Logo

• Powered  by NVIDIA Jetson T5000™
• Up to 2070 FP4 TFLOPS of AI compute
• 12 x GMSL2 camera FAKRA Z code interface 
• 2 x 5 GbE LAN, 2 x CAN-FD
• 4 x USB 3.2, 1 x Audio (optional)
• Power input 19 ~ 36 VDC

EAR-70N Logo

• Powered by NVIDIA Jetson Orin™ AGX
• Multiple I/O interface connections for data collection
• GbE LAN, USB 3.2, Series Ports, CAN-FD, HDMI
• Wide range power input 9 ~ 36 VDC

EAR-70N-2
EAR-30N
EAR-30N

• Powered by NVIDIA Jetson Orin NX
• Provide M.2 M-key 2280 with PCIe Gen3 x4
• 3 x M12 X-coded GbE port
• 2 x CAN FD interface with isolation feature
• 4 x GMSL2 camera FAKRA Z code interface

EAR-100T
NVIDIA Jetson Thor EAR-100T Logo

• Powered  by NVIDIA Jetson T5000™
• Up to 2070 FP4 TFLOPS of AI compute
• 12 x GMSL2 camera FAKRA Z code interface 
• 2 x 5 GbE LAN, 2 x CAN-FD
• 4 x USB 3.2, 1 x Audio (optional)
• Power input 19 ~ 36 VDC

EAR-70N-2
EAR-70N Logo

• Powered by NVIDIA Jetson Orin™ AGX
• Multiple I/O interface connections for data collection
• GbE LAN, USB 3.2, Series Ports, CAN-FD, HDMI
• Wide range power input 9 ~ 36 VDC

EAR-30N
工作區域 6

• Powered by NVIDIA Jetson Orin NX
• Provide M.2 M-key 2280 with PCIe Gen3 x4
• 3 x M12 X-coded GbE port
• 2 x CAN FD interface with isolation feature
• 4 x GMSL2 camera FAKRA Z code interface

Talk to Us to Find the Right Robotics Platform