Edge AI Module (AGX)

Description

1. Product Overview

The Edge AI Module (AGX) is a high-throughput, industrial-grade computing solution engineered for real-time artificial intelligence inference at the network’s edge. Designed for predictive maintenance, autonomous quality control, and robotics in heavy industrial environments, it delivers server-class GPU performance in a rugged, power-efficient form factor. As Industry 4.0 shifts from cloud-dependent latency to edge-native autonomy, the AGX module provides the strategic advantage of sub-millisecond decision-making—directly on the production line or remote asset.

2. Key Specifications & Technical Characteristics

• AI Compute Performance: 32 TOPS (INT8) / 16 TFLOPS (FP16) – NVIDIA Ampere architecture GPU with 2,048 CUDA cores

• CPU Complex: 12-core ARM Cortex-A78AE (v8.2), 3 MB L2 + 4 MB L3 cache

• Memory: 32 GB LPDDR5 (256-bit, 204 GB/s) + 64 GB eMMC 5.1 system storage

• Form Factor: MXM 3.1 Type A (82 mm × 100 mm) – passive conduction-cooled ready

• Power Envelope: 15W – 60W configurable TDP (software-selectable)

• Environmental Rating: -40°C to +85°C operating temperature, shock/vibration MIL-STD-810G

• Interfaces: 2x PCIe Gen4 (x4/x2), 4x MIPI CSI-2, CAN FD, dual GbE (TSN-ready)

• Shelf Life: 10-year industrial availability commitment (no planned obsolescence)

• Packaging Options: Tray (20 units) or custom anti-static clamshell for automated SMT lines

3. Core Industrial Applications

• Predictive Maintenance (Heavy Machinery): Vibration + thermal image fusion at 150 FPS – outperforms cloud-reliant systems by eliminating round-trip latency, reducing false positives by 37% (validated in mining conveyor trials).

• Autonomous Optical Inspection (Electronics Mfg): Detects sub-0.1mm PCB soldering defects using real-time instance segmentation. Beats FPGA-based systems by adapting to new defect classes via OTA model updates without hardware respin.

• Mobile Robotics (Warehousing): Simultaneous localization and mapping (SLAM) with 3D occupancy grids at 40 ms per frame – 2.3x lower power consumption than x86 equivalent, enabling 8+ hour shift life.

• Oil & Gas Remote Monitoring: Classifies flange leak patterns from thermal video across 12 camera streams simultaneously – certified for Class I Division 2 hazardous locations via external potting.

Why superior: The AGX’s unified memory architecture eliminates PCIe bottleneck, allowing mixed-precision models to run 4x faster than GPU-over-USB solutions while cutting power per inference by 60%.

4. Competitive Advantages

• Quality consistency: 0.2% annualized failure rate (AFR) under continuous 85°C operation – validated by 15,000 unit-hours of HALT testing.

• Supply reliability: Dual-sourced fabrication (TSMC + Samsung) with 24-month rolling forecast commitment – no allocation volatility.

• Logistics capability: 48-hour emergency dispatch from regional hubs (Americas, EMEA, APAC). Standard lead time: 15 days EXW.

• Price competitiveness: $1,850perunitatBULK20MTequivalentvolume–22$/TOPS basis.

• Sustainability: RoHS/REACH compliant + carbon-neutral shipping via DHL GoGreen. Firmware supports dynamic power capping (15W–60W) to align with site energy budgets.

• Technical support: Full Yocto BSP, pre-compiled TensorRT pipelines, and 10-year security patch SLA. Direct FAE escalation within 4 business hours.

5. Commercial & Supply Information

• Minimum Order Quantity (MOQ): 50 units (engineering sample) / 500 units (production batch)

• BULK 20MT Loading Capacity: 8,000 units per 20′ dry container (tray-packed, palletized)

• Container utilization: 18 pallets (48”x40”), 12 trays per pallet, 37 units per tray → 8,000 units = 19.8 metric tons including packaging

• Lead time for BULK 20MT: 28 days after P.O. and deposit (factory: Taiwan Taoyuan)

• Incoterms offered: EXW, FCA, CIF major industrial ports (Rotterdam, Shanghai, Houston)