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Empower Physical AI with NVIDIA Jetson Thor:
Enhance Perception, Reasoning, and Precision |
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Bringing humanoid robots from the lab to real-world deployment faces steep hurdles: computational bottlenecks, complex sensor streams, and environmental unpredictability.
Aetina leads the charge with the AIB-AT78/68 edge supercomputing platforms, powered by NVIDIA Jetson Thor modules, enabling AI robotics pioneers in Germany and Korea to leverage powerful computing capabilities that drive multimodal models, achieving exceptional inference performance with high data throughput, real-time sensor fusion, and high-precision motion control. This "AI Super Brain" overcomes system latency, granting humanoids human-like perception and action to accelerate the era of physical AI. |
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| Overcoming Three Critical Deployment Challenges |
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| Computational Bottlenecks |
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| Managing complex motion alongside multimodal AI inference is a workload that exceeds traditional IPC capabilities. |
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| I/O & Integration Obstacles |
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| Most modules lack the bandwidth and connectivity required for massive sensor arrays and high data throughput. |
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| AI Engineering Complexity |
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| Complex software engineering tasks increase development difficulty, costs, and time-to-market. |
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| Unlocking Next-Gen Humanoid Applications |
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Germany: Smart Warehousing |
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Challenge: |
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- Integrating multiple GMSL cameras for 360° 3D vision to solve high-dynamic obstacle avoidance.
- Requires high-performance, low-power, compact AI edge inference platform to address onboard space limitations in humanoid robots.
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Aetina Solution: |
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Small-form-factor AIB-AT68 platform with NVIDIA Jetson T4000™ module, delivering 1200 FP4 TFLOPS AI inference computing power. |
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Impact: |
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Utilizing 120-pin MIPI for 8x GMSL2 cameras and a customized BSP, ensuring high-fidelity spatial perception in tight chassis environments. |
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South Korea: Safety Facility Inspection |
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Challenge: |
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- Deep synergy between the AI inference platform and mechanical control systems for high DoF movement.
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Aetina Solution: |
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High-performance AIB-AT78 platform with NVIDIA Jetson T5000™ module, delivering 2070 FP4 TFLOPS AI inference computing power. |
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Impact: |
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Dual 10GbE LAN and one 1GbE EtherCAT create a robotic "nervous system" supporting over 41 degrees of freedom (DoF) with zero-latency transmission for human-like balance. |
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| Purpose-Built for Physical AI Deployment |
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| Aetina's AIB-AT78/68 edge supercomputing platform, powered by NVIDIA Jetson T5000/T4000 modules, delivers up to 2070 FP4 TFLOPS of AI computing power. Enabling AI robotics pioneers in Germany and Korea to achieve 360-degree vision sensing, multi-model collaborative operation, and ultra-low-latency motion control for humanoid robots that perceive, reason, and act with unprecedented speed and intelligence. |
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| 2070 FP4 TFLOPS Peak Compute |
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| 7.5x higher Al performance than NVIDIA Jetson AGX Orin™, perfect for driving VLA foundation models. |
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| 8x GMSL Multi-View Sensing |
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| 120-pin MIPI supports advanced sensor fusion via NVIDIA Holoscan Sensor Bridge. |
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| Zero-Latency Nervous System |
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| High-speed QSFP28 and 10GbE ports enable dexterous control and real-time reasoning. |
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| Aetina AIB-AT78/68: The Core of Your Solution |
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| Powered by NVIDIA Jetson Thor |
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| Aetina’s DeviceEdge Series– AIB-AT78/68 |
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| Specification |
Details |
| Processor |
NVIDIA Jetson T5000 / T4000 module |
| AI Performance |
Up to 2070 FP4 TFLOPS (AIB-AT78) / 1200 FP4 TFLOPS (AIB-AT68) |
| Form Factor |
140mm x 165mm x 42.8mm (Compact design for robot chassis) |
| Memory |
Up to 128GB LPDDR5X (Supports large perception models) |
| Connectivity |
1x QSFP28 (4x25GbE), 2x RJ45 10GbE, 1x RJ45 1GbE EtherCAT, 5x USB 3.2 |
| Power |
~130W (Excellent performance-to-power balance) |
| Temperature |
-25°C to 80°C |
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| Looking for Edge AI Solutions? |
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