NVIDIA® Jetson™ Orin™ Nano 8GB (Support Super Mode）

Description

Feature

○Brilliant AI Performance for Production: Achieves up to 40 TOPS AI performance with low power and latency, built by NVIDIA Orin SoC combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, integrated advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators. ○Hand-Size Edge AI Device: Compact size at 130mm x120mm x 58.5mm, featuring an NVIDIA Jetson Orin Nano 8GB module, J401 carrier board, enclosure, and power adapter. Support desktop and wall mounting. ○Expandable with Rich I/Os: Includes 4x USB 3.2, HDMI 2.1, 2x CSI, 1x RJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. ○Accelerate Solutions to Market: Pre-installed JetPack 5.1.1 on 128GB NVMe SSD, Linux OS BSP, supporting Jetson software and leading AI frameworks. ○Scale to Deploy: support OTA, remote management services powered by Allxon and Balena. ○Flexible Customization: inlcudes changing accessory modules, logo, and hardware interfaces modification based on reComputer J3011 original design.

Note

  • The reComputer J3011 is equipped with the same NVIDIA Jetson Orin Nano 8GB production module. You can perform a self - upgrade to Jetpack 6.2 . Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 40 Tops to 67 Tops , offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit .
  • For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly , and this issue is also present with official NVIDIA dev kits.
  • If you are looking for the version without power adapter, please check out reComputer J3011 without power adapter

reComputer J3011 (original with JP5.1.3)

reComputer J3011 ( super with JP6.2 )

GPU

NVIDIA Ampere architecture

1,024 CUDA Cores

32 Tensor Cores

635 MHz

NVIDIA Ampere

architecture

1,024 CUDA Cores

32 Tensor Cores

1,020MHz

AI PERF

40 INT8 TOPS (Sparse)

20 INT8 TOPS (Dense)

67 TOPS (Sparse)

33 TOPS (Dense)

CPU

6-core Arm Cortex-

A78AE v8.264-bit CPU

1.5 GHz

6-core Arm Cortex-

A78AE v8.264-bit CPU

1.7 GHz

Memory

8GB 128-bit LPDDR5

68GB/s

8GB 128-bit LPDDR5

102GB/s

POWER MODULE

7W|15W

10W|15W| 25W


Specification

Jetson Orin Nano System on Module

AI Performance

reComputer J 3011 - Orin N ano 8 GB, up to 67 TOPS

reComputer J3010- Orin Nano 4GB – up to 34 TOPS

GPU

1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores (Orin Nano 8GB)

512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4GB)

CPU

6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3

Memory

8GB 128-bit LPDDR5 68 GB/s (Orin Nano 8GB)

4GB 64-bit LPDDR5 34 GB/s (Orin Nano 4GB)

Video Encoder

1080p30 supported by 1-2 CPU cores

Video Decoder

1x 4K60 (H.265) | 2x 4K30 (H.265)  | 5x 1080p60 (H.265)  | 11x 1080p30 (H.265)

Carrier Board

Storage

1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G included)

Networking

Ethernet

1x RJ-45 Gigabit Ethernet (10/100/1000M)

M.2 KEY E

1x M.2 Key E(pre-installed 1x Wi-Fi/Bluetooth combo module)

I/O

USB

4x USB 3.2 Type-A (10Gbps) , 1x USB2.0 Type-C (Device Mode)

Camera

2x CSI (2-lane 15pin)

Display

1x HDMI 2.1

Fan

1x 4 pin Fan Connector (5V PWM)

CAN

1x CAN

Multifunctional Port

1x 40-Pin Expansion header

1x 12-Pin Control and UART header

RTC

1x RTC 2-pin , supports CR1220 but not included

Power

9-19V DC

Mechanical

Dimensions (W x D x H)

130mm x 120mm x 58.5mm (with case)

Installation

Desk, wall-mounting

Operating Temperature

-10℃~60℃

Warranty

1 Year


Hardware Overview

● Desktop, Wall Mount, Expandable, or Fit in Anywhere


Application

Application Fields:

AI Video Analytics

Machine Vision

Autonomous Mobile Robot (AMR)

Generative AI

● Capable of Bringing Generatie AI to the Edge

Now you can build AI agents capable of processing large amounts of live or archived videos and images with Vision-Language Models (VLM) such as LLaVA, this new AI agents help nearly every industry summarize, search, and extract actionable insights from video using natural language.

● Build Multi-streams AI Video Analytics

For building video analytics, Jetson Orin Nano incorporates the NVIDIA Multi-Standard Video Decoder. This video decoder accelerates video decode, supporting low resolution mobile content, Standard Definition (SD), High Definition (HD) and UltraHD (8K, 4K, etc.) reComputer J3011 can take 13x1080p30 streams. See our tested YOLOv8 performance using NVIDIA Deepstream of single model and multi model on multi streams .

● Fastest Way to Deploy Generative AI and Computer Vision Models

We have jetson-example Prepared for you! It offers one-line deploy projects edge AI applications of generative AI including Ollama, Llama3; computer vision including YOLOv8; and others . We have configured all environment for you to provide single command deployment of projects.

NVIDIA® Jetson™ Orin™ Nano 8GB (Support Super Mode）

Product form

Out of stock

31,000.00 ฿ Excl. VAT

      Description

      Feature

      ○Brilliant AI Performance for Production: Achieves up to 40 TOPS AI performance with low power and latency, built by NVIDIA Orin SoC combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, integrated advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators. ○Hand-Size Edge AI Device: Compact size at 130mm x120mm x 58.5mm, featuring an NVIDIA Jetson Orin Nano 8GB module, J401 carrier board, enclosure, and power adapter. Support desktop and wall mounting. ○Expandable with Rich I/Os: Includes 4x USB 3.2, HDMI 2.1, 2x CSI, 1x RJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. ○Accelerate Solutions to Market: Pre-installed JetPack 5.1.1 on 128GB NVMe SSD, Linux OS BSP, supporting Jetson software and leading AI frameworks. ○Scale to Deploy: support OTA, remote management services powered by Allxon and Balena. ○Flexible Customization: inlcudes changing accessory modules, logo, and hardware interfaces modification based on reComputer J3011 original design.

      Note

      • The reComputer J3011 is equipped with the same NVIDIA Jetson Orin Nano 8GB production module. You can perform a self - upgrade to Jetpack 6.2 . Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 40 Tops to 67 Tops , offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit .
      • For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly , and this issue is also present with official NVIDIA dev kits.
      • If you are looking for the version without power adapter, please check out reComputer J3011 without power adapter

      reComputer J3011 (original with JP5.1.3)

      reComputer J3011 ( super with JP6.2 )

      GPU

      NVIDIA Ampere architecture

      1,024 CUDA Cores

      32 Tensor Cores

      635 MHz

      NVIDIA Ampere

      architecture

      1,024 CUDA Cores

      32 Tensor Cores

      1,020MHz

      AI PERF

      40 INT8 TOPS (Sparse)

      20 INT8 TOPS (Dense)

      67 TOPS (Sparse)

      33 TOPS (Dense)

      CPU

      6-core Arm Cortex-

      A78AE v8.264-bit CPU

      1.5 GHz

      6-core Arm Cortex-

      A78AE v8.264-bit CPU

      1.7 GHz

      Memory

      8GB 128-bit LPDDR5

      68GB/s

      8GB 128-bit LPDDR5

      102GB/s

      POWER MODULE

      7W|15W

      10W|15W| 25W


      Specification

      Jetson Orin Nano System on Module

      AI Performance

      reComputer J 3011 - Orin N ano 8 GB, up to 67 TOPS

      reComputer J3010- Orin Nano 4GB – up to 34 TOPS

      GPU

      1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores (Orin Nano 8GB)

      512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4GB)

      CPU

      6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3

      Memory

      8GB 128-bit LPDDR5 68 GB/s (Orin Nano 8GB)

      4GB 64-bit LPDDR5 34 GB/s (Orin Nano 4GB)

      Video Encoder

      1080p30 supported by 1-2 CPU cores

      Video Decoder

      1x 4K60 (H.265) | 2x 4K30 (H.265)  | 5x 1080p60 (H.265)  | 11x 1080p30 (H.265)

      Carrier Board

      Storage

      1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G included)

      Networking

      Ethernet

      1x RJ-45 Gigabit Ethernet (10/100/1000M)

      M.2 KEY E

      1x M.2 Key E(pre-installed 1x Wi-Fi/Bluetooth combo module)

      I/O

      USB

      4x USB 3.2 Type-A (10Gbps) , 1x USB2.0 Type-C (Device Mode)

      Camera

      2x CSI (2-lane 15pin)

      Display

      1x HDMI 2.1

      Fan

      1x 4 pin Fan Connector (5V PWM)

      CAN

      1x CAN

      Multifunctional Port

      1x 40-Pin Expansion header

      1x 12-Pin Control and UART header

      RTC

      1x RTC 2-pin , supports CR1220 but not included

      Power

      9-19V DC

      Mechanical

      Dimensions (W x D x H)

      130mm x 120mm x 58.5mm (with case)

      Installation

      Desk, wall-mounting

      Operating Temperature

      -10℃~60℃

      Warranty

      1 Year


      Hardware Overview

      ● Desktop, Wall Mount, Expandable, or Fit in Anywhere


      Application

      Application Fields:

      AI Video Analytics

      Machine Vision

      Autonomous Mobile Robot (AMR)

      Generative AI

      ● Capable of Bringing Generatie AI to the Edge

      Now you can build AI agents capable of processing large amounts of live or archived videos and images with Vision-Language Models (VLM) such as LLaVA, this new AI agents help nearly every industry summarize, search, and extract actionable insights from video using natural language.

      ● Build Multi-streams AI Video Analytics

      For building video analytics, Jetson Orin Nano incorporates the NVIDIA Multi-Standard Video Decoder. This video decoder accelerates video decode, supporting low resolution mobile content, Standard Definition (SD), High Definition (HD) and UltraHD (8K, 4K, etc.) reComputer J3011 can take 13x1080p30 streams. See our tested YOLOv8 performance using NVIDIA Deepstream of single model and multi model on multi streams .

      ● Fastest Way to Deploy Generative AI and Computer Vision Models

      We have jetson-example Prepared for you! It offers one-line deploy projects edge AI applications of generative AI including Ollama, Llama3; computer vision including YOLOv8; and others . We have configured all environment for you to provide single command deployment of projects.

      Recently viewed products

      © 2025 บริษัท โกลบอลโทรนิค อินเตอร์เทรด จํากัด, Powered by Shopify

      • PayPal

      Login

      Forgot your password?

      Don't have an account yet?
      Create account