MIC-735 with NVIDIA IGX Thor: Unleashing Physical AI Through Holoscan Integration
MIC-735 SeriesCoastIPC's latest innovation integrates the NVIDIA Holoscan platform with its proprietary Holoscan Sensor Bridge, enabling seamless, high-bandwidth sensor connectivity and ensuring interoperability for real-time communication between multiple sensors and AI processors.
This architecture transforms the MIC-735 into the “neural hub” of next-generation robotics and medical systems, connecting cameras, sensors, and AI models through the NVIDIA IGX T5000 module to deliver safety-critical AI inference and ultra-low-latency control.
- Embedded with NVIDIA IGX Thor Module up to 2,070 FP4 TFLOPS
- QSFP 4x25G and 1 x 5G Ethernet support
- Functional Safety MCU module ready
- Rugged design for –30 °C to +60 °C operation
- Integrated Holoscan Sensor Bridge optimizing robotic data flow
Frequently Asked Questions
The MIC-735 is an AI inference system built on the NVIDIA IGX Thor platform. It is designed as a compute and connectivity hub for robotics and medical device applications, integrating sensors, cameras, and AI models for real-time inference and control.
The MIC-735 is embedded with an NVIDIA IGX Thor module, rated up to 2,070 FP4 TFLOPS, via the NVIDIA IGX T5000 module.
The MIC-735 supports QSFP 4x25 GbE and 1x 5G Ethernet interfaces, enabling high speed, coordinated sensor and actuator communication.
The MIC-735 is rugged and rated for stable operation from -30 °C to +60 °C.
Yes. The MIC-735 features a MIPI interface that enables direct camera connectivity or integration with Advantech's Holoscan Sensor Bridge, allowing connection to multiple imaging sensors and high-throughput data exchange with the NVIDIA IGX Thor module.
Yes. The MIC-735 is functional safety MCU module ready, supporting safety-critical operation for robots and instruments.
The MIC-735 integrates NVIDIA's Holoscan platform with Advantech's proprietary Holoscan Sensor Bridge. This provides seamless, high-bandwidth sensor connectivity and interoperability for real-time communication between multiple sensors and AI processors, optimizing robotic data flow.
The MIC-735 is designed for industrial robots, autonomous mobile robots (AMRs), and AI-driven medical devices such as endoscopic and surgical visualization systems.
CoastIPC's latest innovation integrates the NVIDIA Holoscan platform with its proprietary Holoscan Sensor Bridge, enabling seamless, high-bandwidth sensor connectivity and ensuring interoperability for real-time communication between multiple sensors and AI processors. This architecture transforms the MIC-735 into the “neural hub” of next-generation robotics and medical systems, connecting cameras, sensors, and AI models through the NVIDIA IGX T5000 module to deliver safety-critical AI inference and ultra-low-latency control.
Designed for industrial robots and autonomous mobile robots (AMRs), the MIC-735 ensures stable operation from –30 °C to +60 °C. It supports functional safety MCU modules and 5G/ QSFP 4×25 GbE interfaces, ensuring high speed, coordinated sensor actuator communication so robots and instruments can sense, think, and act safely and autonomously.
The MIC-735 also features a MIPI interface that enables direct camera connectivity or integration with Advantech’s Holoscan Sensor Bridge, allowing for seamless connection to multiple imaging sensors and ensuring high-throughput data exchange between sensors and the NVIDIA IGX Thor for real-time inference and control.
| Product Available On | Nov 2, 2030 |
|---|---|
| Manufacturer | Advantech |
| Short Description | CoastIPC's latest innovation integrates the NVIDIA Holoscan platform with its proprietary Holoscan Sensor Bridge, enabling seamless, high-bandwidth sensor connectivity and ensuring interoperability for real-time communication between multiple sensors and AI processors. This architecture transforms the MIC-735 into the “neural hub” of next-generation robotics and medical systems, connecting cameras, sensors, and AI models through the NVIDIA IGX T5000 module to deliver safety-critical AI inference and ultra-low-latency control. |