- Product id: 3979
- Stock: In Stock
- Brand: NVIDIA
- Model: 11F1E2-ONO4G-128G
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Key Features
- AI Performance: Up to 20 TOPS
- GPU: NVIDIA Ampere architecture with 512 CUDA cores & 16 Tensor Cores
- CPU: 6‑core Arm® Cortex‑A78AE v8.2 64‑bit CPU
- Memory: 4 GB 64‑bit LPDDR5 (~34 GB/s)
- Storage: 128 GB NVMe SSD included
| Category | Specification |
|---|---|
| Product Name | NVIDIA Jetson Orin Nano 4G 34T Embedded Computer AI Industrial PC (11F1E2‑ONO4G‑128G) |
| Core Module | NVIDIA Jetson Orin Nano 4GB AI compute module |
| AI Performance | Up to 20 TOPS (INT8) |
| GPU | NVIDIA Ampere architecture with 512 CUDA cores & 16 Tensor Cores |
| CPU | 6‑core Arm® Cortex‑A78AE v8.2 64‑bit CPU |
| Memory | 4 GB 64‑bit LPDDR5 (~34 GB/s) |
| Storage | 128 GB NVMe SSD included (via M.2 Key M expansion) |
| Networking | 1× Gigabit Ethernet; PoE support on some ports |
| USB Ports | 3× USB 3.2 Gen1, 1× USB 2.0 Type‑C (Device mode), 1× USB 2.0 Type‑C (Debug) |
| Video Output | 1× HDMI 2.0 Type‑A |
| Camera Interfaces | Multiple MIPI CSI lanes supported on module (carrier board dependent) |
| I/O Interfaces | DI/DO, CAN, COM (RS‑232/RS‑422/RS‑485), GPIO — varies by carrier |
| Video Decode | Up to 1× 4K60, 2× 4K30, 5× 1080p60, 11× 1080p30 (H.265) |
| Form Factor | Industrial fanless or compact embedded PC design (carrier dependent) |
| Power Consumption | ~7 W – 10 W typical (module level) |
| Typical Use | Edge AI, industrial vision, robotics, automation |
Product Description:
The NVIDIA Jetson Orin Nano 4G 34T Embedded Computer AI Industrial PC (11F1E2‑ONO4G‑128G) is a compact, high‑efficiency edge AI system built for industrial applications that require real‑time inference and intelligent processing at the edge. Powered by the Jetson Orin Nano 4GB compute module, this embedded PC delivers up to 20 TOPS of AI performance using an NVIDIA Ampere‑architecture GPU with 512 CUDA cores and 16 Tensor Cores, together with a 6‑core Arm® Cortex‑A78AE CPU, enabling efficient execution of neural network workloads within a small power envelope (≈7 W – 10 W).
With 4 GB of LPDDR5 memory, this PC can handle common computer vision tasks such as object detection, classification, and multimodal sensor processing. A 128 GB NVMe SSD is included via the M.2 Key M slot on the carrier board, providing fast local storage for datasets, models, and logging. Networking is supported through Gigabit Ethernet, often including PoE capability on select ports, while multiple USB and industrial I/O interfaces (including CAN and serial COM) allow connection to sensors, actuators, and peripherals.
Multimedia capabilities include high‑quality video decoding up to 4K60 and HDMI output support. Designed for industrial environments, this embedded AI PC is ideal for smart factories, machine vision, robotics, autonomous systems, and other edge applications where robust AI computation is required without high energy costs.
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