Specifications
Ordering Code
900-13767-0000-000
Module
Jetson Orin NX 16GB
AI Performance
100 TOPS (INT8)
GPU
1024-core NVIDIA Ampere, 32 Tensor cores
CPU
8-core Arm Cortex-A78AE v8.2 64-bit, 2MB L2 + 4MB L3
Memory
16GB 128-bit LPDDR5, 102.4 GB/s
Storage
1x NVMe via PCIe Gen4 x4 (module has no onboard eMMC on this SKU)
PCIe
1x Gen4 x4 + 3x Gen4 x1 (up to 5 controllers)
Networking
1x GbE, up to 4x 10GbE via PCIe
Video Encode
1x 4K60 H.265 / 3x 4K30 (NVENC)
Video Decode
1x 8K30 / 2x 4K60 H.265 (NVDEC)
Power
10 W / 15 W / 25 W configurable TDP
Form Factor
260-pin SO-DIMM, 70 mm x 45 mm
Temperature
-25 C to +85 C (module junction, industrial profile available)
Software
JetPack SDK, CUDA, TensorRT, DeepStream, Isaac ROS
Vendor
NVIDIA
Jetson Orin module comparison
| Ordering Code | Module | AI Performance | Memory | TDP |
|---|---|---|---|---|
| 900-13767-0000-000 | Jetson Orin NX 16GB | 100 TOPS | 16GB LPDDR5 | 10-25 W |
| 900-13767-0010-001 | Jetson Orin NX 8GB | 70 TOPS | 8GB LPDDR5 | 10-20 W |
| 900-13767-0030-000 | Jetson Orin Nano 8GB | 40 TOPS | 8GB LPDDR5 | 7-15 W |
| 900-13701-0050-000 | Jetson AGX Orin 64GB | 275 TOPS | 64GB LPDDR5 | 15-60 W |
Overview
The Orin NX 16GB is the highest-bin member of the Orin NX family and the usual choice when a design needs AGX-class inference throughput but cannot budget the AGX Orin footprint or power. It carries the same 1024-core Ampere GPU and 8-core Cortex-A78AE complex as the AGX Orin module in a 70 mm x 45 mm 260-pin SO-DIMM that draws 10-25 W. Because the module ships without onboard storage on this SKU, the carrier board supplies an NVMe SSD over the PCIe Gen4 x4 link. Typical deployments are multi-camera vision inspection, autonomous mobile robots and medical imaging front-ends where 100 TOPS of INT8 inference runs at the edge without a fan-cooled server. Ordered as 900-13767-0000-000; production quantities ship factory-sealed.
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