NVIDIA Jetson AGX Orin 64GB Developer Kit (275T, 60W)

SKU:DFR1079 Brand:NVIDIA Reward Points: 19990
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The NVIDIA Jetson AGX Orin 64GB Developer Kit makes it easy to get started with Jetson Orin. Compact size, lots of connectors, and up to 275 TOPS of Al performance make this developer kit perfect for prototyping advanced Al-powered robots and other autonomous machines.

The developer kit includes a Jetson AGX Orin 64GB module, and can emulate all the Jetson Orin modules. It supports multiple concurrent Al application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex Al models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.

NVIDIA Jetson AGX Orin 64GB Developer Kit runs the entire Jetson software stack,as well as use-case specific application frameworks, including lsaac for robotics,DeepStream for vision A, and Riva for conversational Al. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pre-trained Al models from the NGC" catalog.

Jetson ecosystem partners offer additional Al and system software, developer tools, and custom software development. Ecosystem partners also offer cameras and other sensors for Jetson, as well as carrier boards and design services for your product.

Get the computing capability of more than eight Jetson AGX Xavier systems in a developer kit that integrates the latest NVIDIA GPU technology with the world's most advanced deep learning software stack. Now, you'll have the flexibility to create the next generation of Al solutions.

NVIDIA Jetson AGX Orin Developer Kit Overview

Figure: NVIDIA Jetson AGX Orin Developer Kit Overview

JetPack SDK

The JetPack SDK is compatible with all Jetson modules and developer kits. It is a comprehensive solution for building AI applications and provides a robust software foundation for Jetson AGX Orin. It includes the latest Linux driver package (L4T) for the Linux operating system, as well as the CUDA-X acceleration libraries and APIs for deep learning, computer vision, accelerated computing, and multimedia.

  • TensorRT and cuDNN are used for high-performance deep learning applications.
  • CUDA-X is a CUDAGPU acceleration application that spans multiple domains.
  • NVIDIA Container Runtime is used for containerized GPU-accelerated applications.
  • The multimedia API package is used for camera and sensor driver development.
  • VisionWorks, OpenCV and VPI are used for visual computing.
  • Examples of various demo applications.

  • DeepStream SDK

    Building and deploying AI-based intelligent video analytics applications and services using DeepStream, which provides a multi-platform scalable framework with TLS security. It can be deployed at the edge and connected to any cloud.

    NVIDIA DeepStream SDK

    Figure: DeepStream SDK

    Simplifying workflow with the NGC Catalog

    The GPU-optimized software hub for deep learning, machine learning, and high-performance computing accelerates deployment within development workflows.

    NVIDIA Simplifying workflow with the NGC Catalog

    Figure: Simplifying workflow with the NGC Catalog

    NVIDIA Transfer Learning Toolkit

    Accelerate AI training speed by over 10x and enable development like a zero-code professional.

    NVIDIA Transfer Learning Toolkit

    Figure: NVIDIA Transfer Learning Toolkit

    Embarking on the creation of an AI/ML system from scratch requires substantial investments of both time and resources, whereas transfer learning can efficiently extract learned features from an existing neural network model and apply them to a new model. The NVIDIA Transfer Learning Toolkit (TLT) is an innovative AI toolkit that significantly simplifies the complexity of AI/DL frameworks, enabling users to rapidly build production-quality trained models without coding.


  • Al applications
  • Specification

  • GPU: NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 tensor cores
  • CPU: 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3
  • DL Accelerator: 2x NVDLA V2.0
  • Vision Accelerator: PVA v2.0
  • Memory: 64GB 256-bit LPDDR5 2048GB/s
  • Storage: 64GB eMMC 5.1
  • Video Encode: 2x4K 60 | 4x4K 30 | 8x1080p 60 | 16x1080p 30(H.265)
  • Video Decode: 1x8K 30 | 3x4K 60 | 7x4K 30 | 11x1080p 60 | 22x1080p 30(H.265)
  • Power: 15W-60W
  • Camera: 16-lane MIPICSI-2 connector
  • PCle
            The x16 PCIe slot supports up to x8 PCIe 4.0.
            The M.2 Key M slot supports up to x4 PCIe 4.0.
            The M.2 Key E slot supports up to x1 PCIe 4.0.
  • RJ45: Up to 10GbE
  • USB
            USB Type-C: 2x USB 3.2 Gen2
            USB Type-A: 2x USB 3.2 Gen2,2x USB 3.2 Gen1
            USB Micro-B: USB 2.0
  • DisplayPort: DisplayPort 1.4a(+MST)
  • microSD slot: UHS-1 cards up to SDR104 mode
  • Other
            40-pin header (12C,GPIO, SPI,CAN,I2S,UART, DMIC)
            12-pin automation header
            10-pin audio panel header
            10-pin JTAG header
            4-pin fan header
            2-pin RTC battery backup connector
            DC power jack
            Power, Force Recovery, Reset buttons
  • Dimensions: 110mm x 110mm x 71.65mm (Height includes feet, carrier board, module and thermal solution)
  • Documents

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