Jetson Orin NX 16GB, NVIDIA Embedded AI Module with Compact edge AI module with high performance in a low-power form factor

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    Overview

    NVIDIA Mellanox Jetson Orin NX 16GB Overview

    NVIDIA Jetson Orin NX 16GB is a compact Ampere-based edge AI module with 1,024 CUDA cores, 32 Tensor Cores, 16GB LPDDR5 and up to 157 INT8 TOPS in MAXN_SUPER mode. Its 10–25W range is suited to high-performance embedded systems with tight size and power budgets.

    Key Specifications

    AI Performance

    Up to 157 INT8 TOPS in MAXN_SUPER mode; performance is power-mode dependent

    GPU and CPU

    1,024 CUDA cores, 32 Tensor Cores and an 8-core Arm Cortex-A78AE CPU

    Memory

    16GB LPDDR5 shared memory for compact AI appliances and robotics systems

    Power Range

    Configurable 10–25W operating range

    Compact Deployment

    Orin NX form factor for embedded products such as AMRs, drones, smart cameras and edge boxes

    Software Ecosystem

    JetPack SDK with CUDA, TensorRT and NVIDIA edge AI software support

    Best Fit Applications

    Autonomous Mobile Robots

    Autonomous Mobile Robots

    The compact module and 10–25W range fit AMRs that need onboard perception, mapping and navigation within a mobile power budget.

    Smart Cameras

    Smart Cameras

    CUDA and Tensor Core acceleration support real-time video analytics and computer vision close to the camera source.

    Drones and Autonomous Devices

    Drones and Autonomous Devices

    The performance-per-watt profile helps bring AI inference to airborne and other size-constrained autonomous platforms.

    Industrial Edge Boxes

    Industrial Edge Boxes

    16GB memory and up to 157 INT8 TOPS in MAXN_SUPER mode support compact gateway and edge-compute designs.

    Why Jetson Orin NX 16GB

    Performance in a Compact Envelope

    Performance in a Compact Envelope

    Orin NX combines 16GB memory and up to 157 INT8 TOPS in MAXN_SUPER mode for embedded products where space matters.

    Power-Responsive AI Design

    Power-Responsive AI Design

    The 10–25W range helps system designers select a performance point for battery, thermal and enclosure constraints.

    Broad Edge AI Applicability

    Broad Edge AI Applicability

    The module fits robotics, drones, smart-camera and industrial edge workloads that need more headroom than entry-level Orin Nano configurations.

    Compare Related Models

     
    NVIDIA Jetson Orin NX 16GBNVIDIA Jetson Orin NX 16GB
    AI PerformanceUp to 157 INT8 TOPS in MAXN_SUPER modeUp to 200 TOPS, mode-dependentUp to 67 TOPSUp to 34 TOPS
    GPU / Tensor Cores1,024 CUDA / 32 Tensor Cores1,792 CUDA / 56 Tensor Cores1,024 CUDA / 32 Tensor Cores512 CUDA / 16 Tensor Cores
    CPU8-core Arm Cortex-A78AE12-core Arm Cortex-A78AE6-core Arm Cortex-A78AE6-core Arm Cortex-A78AE
    Memory16GB LPDDR532GB LPDDR58GB LPDDR54GB LPDDR5
    Power Range10–25W15–40W7–25W7–15W
    Module PositioningCompact high-performance production moduleBalanced AGX Orin production moduleEntry edge AI production moduleEntry-level low-power production module
    Best Fit ScenarioAMRs, drones, smart cameras and edge boxesRobotics, vision AI, edge inference and smart IoT systemsVision AI, entry robotics, smart home and education projectsLearning, light computer vision and IoT devices
    Target CustomerEmbedded device vendors and edge AI developersRobotics and vision developers, OEMs and system integratorsMakers, educators and small device makersStudents, makers and education institutions
    Not Recommended ForWorkloads needing AGX-class memory or computeLarge models or multi-sensor workloads that require 64GBLarge multimodal models or high-density robotics workloadsLarger models, multi-camera workloads or advanced robotics

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    Specification

    NVIDIA Mellanox Jetson Orin NX 16GB Specification

    General
    BrandNVIDIA
    Product CategoryEmbedded AI Module
    ModelJetson Orin NX 16GB
    Module FamilyJetson Orin NX
    Compute
    GPU ArchitectureNVIDIA Ampere
    CUDA Cores1,024
    Tensor Cores32
    CPU8-core Arm Cortex-A78AE
    AI PerformanceUp to 157 INT8 TOPS in MAXN_SUPER mode; mode-dependent
    Memory and Power
    Memory16GB LPDDR5
    Power Range10–25W
    Software and Integration
    Software EcosystemJetPack SDK with CUDA, TensorRT and NVIDIA edge AI software support
    IntegrationProduction module for integration with a compatible carrier board; module and carrier-board selection must be confirmed for the system design
    Still unsure about your configuration? Talk to an engineer for assistance.

    Quality Certifications

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