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NVIDIA

NVIDIA 900-13767-0010-001 | Jetson Orin NX 8GB Edge AI Module, 70 TOPS, 6-Core

900-13767-0010-001

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Description

The Jetson Orin NX 8GB is a compact edge AI system-on-module from the NVIDIA Jetson Orin NX series. It suits edge AI, robotics and embedded vision deployments where inference needs to run locally on the device.

It delivers up to 70 sparse INT8 TOPS, or 35 dense INT8 TOPS, from an NVIDIA Ampere GPU with 1024 CUDA cores and 32 Tensor cores. The CPU is a 6-core Arm Cortex-A78AE v8.2 64-bit design with 1.5MB L2 and 4MB L3 cache. Memory is 8GB of 128-bit LPDDR5 with 102.4 GB/s of bandwidth. A dedicated NVDLA v2.0 deep learning accelerator and a PVA v2 vision accelerator offload AI and vision tasks from the GPU and CPU.

This is a module only, so it needs a compatible carrier board to be used. Software support comes through the NVIDIA JetPack SDK, with Omniverse Replicator for synthetic data generation and TAO Toolkit for fine-tuning pretrained models from the NGC catalog.

Enquire with XS Network Tech for new or used pricing and availability.

Features

- Ampere GPU with Tensor cores for AI inference at the edge
- 6-core Arm Cortex-A78AE CPU for general-purpose processing
- 8GB LPDDR5 memory on a 128-bit interface
- Dedicated NVDLA v2.0 deep learning accelerator
- PVA v2 vision accelerator for computer vision workloads
- Supported by the NVIDIA JetPack SDK
- Omniverse Replicator for synthetic data generation
- TAO Toolkit for fine-tuning pretrained models from the NGC catalog

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: NVIDIA Ampere architecture with 1024 CUDA cores and 32 Tensor cores
- CPU: 6-core Arm Cortex-A78AE v8.2 64-bit
- CPU cache: 1.5MB L2 + 4MB L3
- Memory: 8GB 128-bit LPDDR5
- Memory bandwidth: 102.4 GB/s
- DL accelerator: 1x NVDLA v2.0
- Vision accelerator: PVA v2
- Form: system-on-module, requires a compatible carrier board

FAQs

Q: Can I use this module on its own?
A: No. It is a system-on-module and needs a compatible carrier board to provide ports, power input and other interfaces.

Q: What is the difference between the sparse and dense TOPS figures?
A: The module delivers up to 70 TOPS with sparse INT8 workloads and 35 TOPS with dense INT8 workloads. Which figure applies depends on whether your model uses sparsity.

Q: What software does it work with?
A: It is supported by the NVIDIA JetPack SDK. Omniverse Replicator can generate synthetic data and TAO Toolkit can fine-tune pretrained models from the NGC catalog.

Q: How much memory does it have?
A: It has 8GB of 128-bit LPDDR5 memory with 102.4 GB/s of bandwidth.

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