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&NVIDIA Jetson AGX Orin 64GB 開發套件：最小且最強大的 AI 邊緣計算機（102110842）+電

NT$72,500

運費NT$50

條碼035622600

&NVIDIA Jetson AGX Orin 64GB 開發套件：最小且最強大的 AI 邊緣計算機（102110842）+電

產品說明0

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Jetson AGX Orin 64GB 開發套件：最小且最強大的 AI 邊緣計算機（102110842）+電源線

　NVIDIA® Jetson AGX Orin™ 64GB Developer Kit: smallest and most powerful AI edge computer

NVIDIA® Jetson AGX Orin™ 64GB 開發套件：最小且最強大的 AI 邊緣計算機

【常問問題】：

Ｑ：32GB 與 64GB 的 Jetson AGX Orin 開發套件有什麼區別？

Ａ：Jetson AGX Orin 開發者套件已升級為 64GB 內存。除內存外，性能與原始 32GB Jetson AGX Orin 開發套件相同。具有 64GB 內存的 Jetson AGX Orin 開發套件的價格為 1999 美元。

What is the difference between the Jetson AGX Orin Developer Kit with 32GB vs. 64GB？區別

The Jetson AGX Orin Developer Kit has been upgraded with 64GB of memory. The performance is the same as the original 32GB Jetson AGX Orin Developer Kit, except for the memory. The price of the Jetson AGX Orin developer kit with 64GB of memory is $1999.

【Part List／清單】：

Jetson AGX Orin 64GB　×1
Seeed carrier board　×1
Aluminum heatsink with fan／風扇　×1
Aluminum case／外殼　×1
90W (Barrel Jack 5.5/2.5mm) power adapter／90W電源，不含電源線　×1
多規格電源線 X 各1

POWER ADAPTER AC Power Brick 90W x1

USB-C Cable x1

Type B (US, CA, JP) Power Cable x1

Type I (CN) Power Cable x1

Type B (TW) Power Cable x1

UPC Label x1

Quick Start and Support Guide x1 說明書

　　NVIDIA® Jetson AGX Orin™ 64GB Developer Kit, provides a giant leap forward for Robotics and Edge AI. With up to 275 TOPS of AI performance and power configurable between 15W and 60W, you now have more than 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factor for developing advanced robots and other autonomous machine products.
　　NVIDIA® Jetson AGX Orin™ 64GB 開發套件為機器人和邊緣人工智能帶來了巨大飛躍。憑藉高達 275 TOPS 的 AI 性能和可在 15W 至 60W 之間配置的功率，您現在可以在相同的緊湊外形中獲得 NVIDIA® Jetson AGX Xavier™ 8 倍以上的性能，用於開發高級機器人和其他自主機器產品。

　　With Jetson AGX Orin, developers can now deploy large and complex models to solve problems like natural language understanding, 3D perception, and multi-sensor fusion.
借助 Jetson AGX Orin，開發人員現在可以部署大型複雜模型來解決自然語言理解、3D 感知和多傳感器融合等問題。

32G 原版影片：https://youtu.be/LUxyNyCl4ro
32G 原版影片：https://youtu.be/eFgsOeHMAW4

【Features／特徵】

Most powerful AI computer for energy-efficient autonomous machines: up to 275 TOPS, power configurable between 15W and 60W, supports multiple concurrent AI inference pipelines, plus high-speed interface support for multiple sensors.
Giant Leap forward compared to Jetson AGX Xavier: 8 times AI performance in the same compact form-factor, built with new NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 tensor cores, 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2+6MB L3
Supports multiple concurrent AI inference pipelines with onboard 64GB eMMC, 204 GB/s of memory bandwidth, and 64 GB of DRAM.
High-speed interface support for multiple sensors: 22 lanes of PCIe Gen4, 1x 10GbE, a Display Port, 16 lanes of MIPI CSI-2, USB 3.2 interfaces, and a 40-pin header.
Support JetPack SDK | NVIDIA Developer installs Ubuntu 20.04 and supports entire NVIDIA JetPack™ and use-case-specific software platforms including Isaac for robotics, and Metropolis for smart cities.

產品規格

【規格：Jetson AGX Orin module】64GB

AI Performance	275 TOPS (INT8)
GPU	NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor Cores
Max GPU Freq	1.3 GHz
CPU	12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3
CPU Max Freq	2.2 GHz
DL Accelerator	2x NVDLA v2.0
DLA Max Frequency	1.6 GHz
Vision Accelerator	1x PVA v2
Memory	64GB 256-bit LPDDR5 204.8 GB/s
Storage	64GB eMMC 5.1
CSI Camera	16 lanes MIPI CSI-2
Video Encode	2x 4K60 (H.265) 4x 4K30 (H.265) 8x 1080p60 (H.265) 16x 1080p30 (H.265)
Video Decode	1x 8K30 (H.265) 3x 4K60 (H.265) 7x 4K30 (H.265) 11x 1080p60 (H.265) 22x 1080p30 (H.265)
PCIe	x16 PCIe slot supporting x8 PCIe Gen4 M.2 Key M slot with x4 PCIe Gen4 M.2 Key E slot with x1 PCIe Gen4
USB	USB Type-C connector: 2x USB 3.2 Gen2 USB Type-A connector: 2x USB 3.2 Gen2, 2x USB 3.2 Gen1 USB Micro-B connector: USB 2.0
Networking	RJ45 connector with up to 10 GbE
Display	1x DisplayPort 1.4a (+MST) connector
Other I/O	40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO) 12-pin automation header 10-pin audio panel header 10-pin JTAG header 4-pin fan header 2-pin RTC batter backup connector microSD slot DC power jack Power, Force Recovery, and Reset buttons
Power	15W \| 30W \| 60W
Mechanical	110mm x 110mm x 71.65mm (Height includes feet, carrier board, module, and thermal solution)

【ECCN/HTS】

HSCODE：8543709990
USHSCODE：8543708800
UPC　－
EUHSCODE：8471707000
COO ：CHINA

EU DoC ｘ1
RoHS ｘ1
UKCA ｘ1

相關文件

【LEARN AND DOCUMENTS】

Documentations

NVIDIA Jetson AGX Orin Specification

NVIDIA Jetson AXG Orin 3D file

Learn

[Others] 【Video】Introduction of NVIDIA Jetson Orin

備註

Jetson AGX Orin 上的 Orion 機器人演示

比較 NVIDIA Jetson AGX Orin 與 AGX Xavier

	AGX Xavier	AGX Orin 32GB
GPU	512-core Volta GPU with 64 Tensor Cores	NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor Cores
CPU	8-core ARM v8.2 64-bit CPU,8MB L2 + 4MB L3	12-core Arm® Cortex®-A78AE v8.2 64-bit CPU3MB L2 + 6MB L3
Memory	32GB 256-Bit LPDDR4x137GB/s	32GB 256-bit LPDDR5204.8 GB/s
Storage	32GB eMMC 5.1	64GB eMMC 5.1
DL Accelerator	2x NVDLA Engines	2x NVDLA v2.0
Vision Accelerator	7-way VLIW Vision Processor	PVA v2.0
Encoder	2x1000MP/sec 4x 4K @ 60 (HEVC) 8x 4K @ 30 (HEVC) 16x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC)	2x 4K604x 4K30 8x 1080p60 16x 1080p30 (H.265)
Decoder	2x1500MP/sec 2x 8K @ 30 (HEVC) 6x 4K @ 60 (HEVC) 12x 4K @ 30 (HEVC) 26x 1080p @ 60 (HEVC) 52x 1080p @ 30 (HEVC) 30x 1080p @ 30 (H.264)	1x 8K30 3x 4K60 6x 4K30 12x 1080p60 24x 1080p30 (H.265)
Size	100.0 mm x 87.0 mm	100.0 mm × 87.0 mm

相關資訊

〔Jetpack 5.1.1〕2023 目前最新版系統
https://developer.nvidia.com/embedded/jetpack

【主要功能】：

JetPack 5.1.1 包含 Jetson Linux 35.3.1，其中添加了以下亮點：（請參閱發行說明了解更多詳細信息）

添加了對 Jetson Orin Nano 開發者套件的支持
增加了對 Jetson AGX Orin 64GB、Jetson Orin NX 8GB、Jetson Orin Nano 8GB 和 Jetson Orin Nano 4GB 生產模塊的支持
安全：
無線更新：支持基於映像的 OTA 工具，用於升級現場運行 JetPack 5 的基於 Xavier 或 Orin 的模塊1
相機：
- Orin 支持多點鏡頭陰影校正 (LSC)。
- 增強了 Argus SyncStereo 應用程序的彈性，以保持立體攝像機對之間的同步。
多媒體：
- 支持 AV1 編碼中的動態幀率
- 新的 argus_camera_sw_encode 示例用於演示 CPU 內核上的軟件編碼
- 更新了 nvgstcapture-1.0，提供了 CPU 內核上的軟件編碼選項

1以前的版本支持在運行 JetPack 4 的現場升級基於 Xavier 的模塊。

〔Jetpack 5.1.1〕2023 目前最新版系統

　　JetPack 5.1.1 is a production quality release and brings support for Jetson Orin Nano Developer Kit, Jetson AGX Orin 64GB, Jetson Orin NX 8GB, Jetson Orin Nano 8GB and Jetson Orin Nano 4GB modules. It includes Jetson Linux 35.3.1 BSP with Linux Kernel 5.10, an Ubuntu 20.04 based root file system, a UEFI based bootloader, and OP-TEE as Trusted Execution Environment. JetPack 5.1.1 packages CUDA 11.4, TensorRT 8.5.2, cuDNN 8.6.0 and VPI 2.2, along with other updates. See highlights below for the full list of features.
　　JetPack 5.1.1 是一個生產質量版本，支持 Jetson Orin Nano 開發套件、Jetson AGX Orin 64GB、Jetson Orin NX 8GB、Jetson Orin Nano 8GB 和 Jetson Orin Nano 4GB 模塊。它包括帶有 Linux Kernel 5.10的 Jetson Linux 35.3.1 BSP、基於 Ubuntu 20.04 的根文件系統、基於 UEFI 的引導加載程序以及作為可信執行環境的 OP-TEE。JetPack 5.1.1 打包了 CUDA 11.4、TensorRT 8.5.2、cuDNN 8.6.0 和 VPI 2.2 以及其他更新。請參閱下面的亮點以獲取完整的功能列表。

　　This release supports all Jetson AGX Orin, Jetson Orin NX, Jetson Orin Nano, Jetson AGX Xavier and Jetson Xavier NX production modules as well as Jetson AGX Orin Developer Kit, Jetson Orin Nano Developer Kit, Jetson AGX Xavier Developer Kit and Jetson Xavier NX Developer kit.

　　此版本支持所有 Jetson AGX Orin、Jetson Orin NX、Jetson Orin Nano、Jetson AGX Xavier 和 Jetson Xavier NX 生產模塊以及 Jetson AGX Orin 開發人員套件、Jetson Orin Nano 開發人員套件、Jetson AGX Xavier 開發人員套件和 Jetson Xavier NX 開發人員成套工具。

　　Jetson software includes The platform includes Jetson modules, which are small form-factor, highperformance computers, the JetPack SDK for end-to-end AI pipeline acceleration, and an ecosystem with sensors, SDKs, services, and products to speed up development.

　　Jetson Software comprises JetPack SDK, TAO & Pretrained AI Models from the NVIDIA NGC™ catalog, Triton Inference Server, NVIDIA Riva, DeepStream SDK, and NVIDIA Isaac.

　　NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.

Work with Seeed Ecosystem

　　Deploying an AI idea can be faster, flexible, even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real-world. By consolidating Seeed’s best-in-class hardware, cutting-edge technology from our software partners and all developers from the community, we aim at emerging all kinds of AI scenarios in our open-source platform to faster industries digital transformation. We are looking for partners to join our ecosystem together to deliver solutions to different industries together. Please contact cooperation@seeed.cc for more partnership ecosystem information.

Description

NVIDIA Jetson

　　Seeed is a reseller of NVIDIA embedded systems and a preferred partner of the NVIDIA Jetson ecosystem for edge AI. Explore more carrier boards, full system devices, customization services, use cases, and developer tools at NVIDIA Jetson! Welcome to check out our Edge AI Partner Program. We are looking forward to leveraging local and global resources to accelerate next-gen AI products together with you.

NVIDIA Jetson-powered Edge AI platform at Seeed

　　At Seeed, you will find everything you want to work with NVIDIA Jetson Edge AI Solutions - Jetson Nano, Jetson Xavier NX, Jetson AGX Orin - Seeed Studio – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.

Seeed will continue working on the Jetson product line and will be ready to combine our partners’ unique technology with Seeed’s hardware expertise for an end-to-end solution.

Applications／應用領域

　　Supported by NVIDIA JetPack™ and use-case-specific software platform Compare NVIDIA Jetson AGX Orin with AGX Xavier: 8x AI performance, in-advance Ampere GPU, CPU, Memory & Storage - Latest Open Tech From Seeed

In the specification sheet, NVIDIA made an inference time comparison.／NVIDIA做了推理時間的比較。

Join Seeed as Edge AI Partner, Deliver Real-World AI Together

　　Seeed’s Edge AI platform provides devices, carrier boards, peripherals, software tools, and ML solutions. Seeed is NVIDIA’s official reseller and ecosystem hardware partner. By consolidating our best-in-class hardware and cutting-edge technology from our software partners and the community, we aim at helping both developers and enterprises deploy ML in the real world across industries. Contact us at seeed.cc - Latest Open Tech From Seeed

We are looking forward to working with AI experts, software enterprises, and system integrators:／我們期待與人工智能專家、軟件企業、系統集成商合作：

Integrating your unique technology, resell or co-brand licensed solution with us.
　　與我們整合您獨特的技術、轉售或聯合品牌許可解決方案。
Building next-gen AI products powered by the NVIDIA Jetson module, one-stop bringing your product to the market with Seeed’s manufacturing, fulfillment, and distribution.
　　構建由 NVIDIA Jetson 模塊提供支持的下一代 AI 產品，通過 Seeed 的製造、履行和分銷一站式將您的產品推向市場。
Working with Seeed Amazing Ecosystem Partners together, unlocking more AI possibilities.
與 Seeed Amazing 生態系統合作夥伴攜手合作，解鎖更多 AI 可能性。

【Developer Tools／開發者工具】

Pre-installed Jetpack for fast development and edge AI integration
預裝 Jetpack 以實現快速開發和邊緣 AI 集成

　　Jetson software stack begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.
Jetson 軟體堆疊從 NVIDIA JetPack™ SDK 開始，它提供了一個完整的開發環境，並包括 CUDA-X 加速庫和其他 NVIDIA 技術來啟動您的開發。JetPack 包括 Jetson Linux 驅動程式包，該軟體包為 Jetson 平臺提供 Linux 內核、引導載入程式、NVIDIA 驅動程式、快閃記憶體實用程式、示例文件系統和工具鏈。它還包括安全功能、無線更新功能等等。

Computer Vision and embedded machine learning

NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
NVIDIA TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
alwaysAI: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our wiki guide to get started with alwaysAI.
Edge Impulse: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
Roboflow provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the full documentation for deploying to NVIDIA Jetson with Roboflow.
YOLOv5 by Ultralytics: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials
Deci: optimize your models on NVIDIA Jetson Nano. Check the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices

Speech AI

NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.

Remote Fleet Management

Enable secure OTA and remote device management with Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.

Robot and ROS Development

NVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about NVIDIA Developer Tools
Cogniteam Nimbus is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our webinar on connecting your ROS Project to the Cloud with Nimbus.

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本商品上架日期：2023-06-28.