NVIDIA 900-13767-0010-0V1 | Jetson Orin NX 8GB LPDDR5 AI Module, 70 TOPS
SKU:900-13767-0010-0V1
Stock Status: Enquire
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Description
Description
The Jetson Orin NX 8GB is a compact AI system-on-module from the NVIDIA Jetson Orin NX series, built for edge AI, robotics, autonomous machines and multi-camera vision systems. Measuring just 69.6 x 45 mm, it suits space-constrained embedded designs that need serious inference performance.
It delivers up to 70 sparse INT8 TOPS (35 dense) from a 1024-core NVIDIA Ampere GPU with 32 Tensor Cores, paired with a 6-core Arm Cortex-A78AE CPU running up to 2.0 GHz and 8GB of 128-bit LPDDR5 memory with 102.4 GB/s of bandwidth. A single NVDLA v2.0 deep learning accelerator and a PVA v2.0 vision accelerator offload AI and vision workloads. Power is configurable across 10W, 15W and 20W modes from a 5V to 20V supply. This 8GB variant differs from the Orin NX 16GB, which has 100 TOPS and an 8-core CPU.
The module connects through a 260-pin SO-DIMM edge connector and requires a compatible Jetson Orin NX carrier board. It supports external NVMe storage over PCIe and runs the NVIDIA JetPack SDK, including Jetson Linux, CUDA and TensorRT. No licence or subscription is required for the hardware.
Enquire with XS Network Tech for new or used pricing and availability.
Features
Features
- Up to 70 TOPS of AI performance in the compact Jetson form factor
- NVIDIA Ampere architecture GPU with Tensor Cores
- Supports multiple concurrent AI application pipelines
- Next-generation deep learning and vision accelerators
- High-speed I/O including PCIe Gen4, USB 3.2 and MIPI CSI-2
- Configurable power from 10W to 20W
- Pin-compatible 260-pin SO-DIMM form factor shared with the Orin NX 16GB module
Warranty
Warranty
All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.
All technical data should be verified on the manufacturer data sheets.
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Technical Specifications
FAQs
Technical Specifications
- AI performance: up to 70 (sparse) INT8 TOPS / 35 (dense) INT8 TOPS
- GPU: 1024 NVIDIA CUDA cores, 32 Tensor Cores (Ampere)
- GPU maximum frequency: 765 MHz
- GPU APIs: OpenGL 4.6, OpenGL ES 3.2, Vulkan 1.1, CUDA 10
- Deep learning accelerator: 1x NVDLA v2.0, max 610 MHz, 20 TOPS (sparse INT8)
- Vision accelerator: PVA v2.0
- CPU: 6-core Arm Cortex-A78AE v8.2 64-bit, 1.5MB L2 + 4MB L3 cache
- CPU maximum frequency: 2.0 GHz
- Memory: 8GB 128-bit LPDDR5
- Memory bandwidth: 102.4 GB/s
- Storage: external NVMe supported
- Video encode (H.265): 1x 4K60, 3x 4K30, 6x 1080p60, 12x 1080p30
- Video decode (H.265): 1x 8K30, 2x 4K60, 4x 4K30, 9x 1080p60, 18x 1080p30
- CSI camera: up to 4 cameras (8 via virtual channels), 8 lanes MIPI CSI-2 D-PHY
- PCIe: Gen4, 1x4 + 3x1, Root Port and Endpoint
- USB: 3x USB 3.2 Gen2, 3x USB 2.0
- Networking: 1x Gigabit Ethernet (10/100/1000 BASE-T MAC)
- Display: 1x 8K30 multi-mode DP 1.4a (+MST) / eDP 1.4a / HDMI 2.1
- Other I/O: 3x UART, 2x SPI, 4x I2C, 1x CAN, DMIC, DSPK, 2x I2S, 15x GPIO
- Power modes: 10W / 15W / 20W
- Supported power input: 5V to 20V
- Operating temperature (Tj): -25 to 90 C
- Module size: 69.6 x 45 mm
- Connector: 260-pin SO-DIMM
FAQs
Q: Does the Jetson Orin NX 8GB need a licence or subscription?
A: No licence or subscription is required for the hardware. It runs the NVIDIA JetPack SDK, which includes Jetson Linux, CUDA and TensorRT.
Q: What do I need to power and run this module?
A: It accepts a 5V to 20V supply and offers 10W, 15W and 20W power modes. The module itself must be fitted to a compatible Jetson Orin NX carrier board.
Q: What carrier boards and storage does it work with?
A: It uses a 260-pin SO-DIMM edge connector and works with Jetson Orin NX compatible carrier boards, including the Orin NX/Nano developer kit carrier and third-party carriers. Storage is external NVMe over PCIe, as there is no onboard eMMC.
Q: How does the 8GB model differ from the Orin NX 16GB?
A: The 8GB model has 8GB of LPDDR5, up to 70 TOPS and a 6-core CPU. The 16GB model offers 16GB of memory, 100 TOPS and an 8-core CPU. Both share the same 260-pin SO-DIMM form factor.
Q: How many cameras can it support?
A: It supports up to 4 MIPI CSI-2 cameras directly, or up to 8 using virtual channels, over 8 lanes of D-PHY.
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