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NVIDIA Jetson Orin Nano Super AI Developer Kit 945-13766-0007000

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The NVIDIA Jetson Orin Nano Super 8GB Developer Kit (945-13766-0007000) is a compact edge AI platform featuring an Ampere GPU, 6-core Arm CPU, 8GB LPDDR5 memory and camera, USB, PCIe and networking interfaces for embedded AI development.

OVERVIEW

  • The NVIDIA Jetson Orin Nano Super 8GB Developer Kit provides an embedded development platform for AI inference, video processing and intelligent machine applications. Its compact design, 7W–15W stated power consumption and range of camera, storage, networking and expansion interfaces support development in robotics and edge AI. The supplied part number is 945-13766-0007000, with UPC 812674025261.

USE CASES

  • Edge AI inference — Supports compatible AI models running in embedded and edge environments.
  • Robotics development — Provides computing resources for prototyping AI-enabled robotic systems.
  • Autonomous machine prototyping — Supports development of compatible perception and control applications.
  • Computer vision — GPU resources and camera interfaces support visual-processing projects.
  • Multi-camera applications — Dual MIPI CSI-2 connectors support integration with compatible camera modules.
  • Video analytics — H.265 decoding capabilities support compatible video-processing pipelines.
  • Industrial inspection — Can be used to develop AI-based inspection applications for suitable equipment.
  • Embedded AI devices — Compact dimensions support integration planning for space-constrained systems.
  • Smart camera development — Camera connectivity and AI processing resources support compatible vision applications.
  • Mobile robotics — The stated power range supports evaluation for power-conscious embedded designs.
  • IoT edge computing — Provides a platform for prototyping AI-enabled connected devices.
  • AI model experimentation — GPU and Tensor Core resources support development with compatible AI workloads.
  • Sensor-connected systems — The 40-pin header provides interfaces for supported control and communication peripherals.
  • Local video processing — Specified H.265 decoding modes support suitable local video workloads.
  • AI research and prototyping — Offers a development platform for evaluating embedded AI concepts before wider deployment.

KEY FEATURES

Ampere GPU architecture - Provides GPU computing resources for supported AI and vision workloads.

  • 1,024 GPU cores - Supports parallel processing tasks in compatible applications.
  • 32 Tensor Cores - Accelerates supported AI and neural-network computations.
  • 6-core Arm Cortex-A78AE CPU - Handles system operations and multi-threaded processing workloads.
  • 8GB LPDDR5 memory - Provides memory capacity for supported embedded AI applications.
  • 68GB/s memory bandwidth - Specifies the memory bandwidth available for data processing.
  • M.2 NVMe storage support - Allows compatible NVMe storage through the M.2 Key M interface.
  • microSD card slot - Provides a removable storage option for supported deployments.
  • Dual MIPI CSI-2 camera connectors - Supports integration with compatible camera modules.
  • Four USB 3.2 Gen2 Type-A ports - Connects compatible USB peripherals and development equipment.
  • USB Type-C UFP interface - Provides an additional USB connectivity option for supported configurations.
  • Gigabit Ethernet - Supports wired network connectivity at the specified interface level.
  • DisplayPort 1.2 with MST - Supports compatible display connections and Multi-Stream Transport.
  • 40-pin expansion header - Provides UART, SPI, I2S, I2C and GPIO connections for supported peripherals.
  • 7W–15W power range - Provides a stated power-consumption range for deployment planning.
  • Compact 100 × 79 × 21mm dimensions - Supports integration into space-constrained embedded designs.

TECHNICAL SPECIFICATIONS

  • Brand: NVIDIA
  • Product Name: Jetson Orin Nano Super 8GB Developer Kit
  • Product Type: Edge AI Developer Kit
  • Part Number / MPN: 945-13766-0007000
  • UPC: 812674025261
  • Colour: Black
  • GPU Architecture: NVIDIA Ampere
  • GPU Cores: 1,024
  • Tensor Cores: 32
  • Maximum GPU Frequency: 625MHz
  • CPU: 6-core Arm Cortex-A78AE v8.2 64-bit
  • Maximum CPU Frequency: 1.5GHz
  • CPU Cache: 1.5MB L2 + 4MB L3
  • Memory: 8GB LPDDR5
  • Memory Bus Width: 128-bit
  • Memory Bandwidth: 68GB/s
  • Storage Support: SD card and external NVMe via M.2 Key M
  • Camera Interface: 2 × MIPI CSI-2 22-pin
  • PCIe / Expansion: M.2 Key M x4/x2 and M.2 Key E
  • USB: 4 × USB 3.2 Gen2 Type-A; USB Type-C UFP
  • Networking: 1 × Gigabit Ethernet
  • Display: 1 × DisplayPort 1.2 with MST
  • Other I/O: 40-pin UART/SPI/I2S/I2C/GPIO header, 12-pin button header, 4-pin fan header and DC power jack
  • Video Encoding: 1080p30 supported by CPU cores, as specified in the supplied source
  • Video Decoding (H.265): 1 × 4K60, 2 × 4K30, 5 × 1080p60 or 11 × 1080p30
  • Power Consumption: 7W–15W
  • Dimensions: 100 × 79 × 21mm, including feet, carrier board, module and thermal solution

WHY CHOOSE THIS PRODUCT?

  • Embedded AI development - Provides a platform for building and testing applications intended for edge deployment.
  • Compact physical design - Helps engineers plan integration into smaller systems and robotic equipment.
  • Defined processing architecture - Combines an Ampere GPU and Arm CPU for supported application workloads.
  • Dedicated AI acceleration - Tensor Cores provide acceleration for compatible AI processing tasks.
  • Camera integration options - Dual MIPI CSI-2 connectors support projects using compatible camera modules.
  • Storage flexibility - Supports microSD and external NVMe storage through the specified interfaces.
  • Peripheral connectivity - USB ports and expansion headers support integration with compatible development hardware.
  • Wired networking - Gigabit Ethernet provides a defined interface for network-connected applications.
  • Display support - DisplayPort 1.2 with MST supports compatible display configurations.
  • Power planning - The stated 7W–15W range helps buyers assess power requirements for intended deployments.

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