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NVIDIA Jetson AGX Orin Developer Kit Jetson AGX Thor Development Kit Server Grade
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NVIDIA•Development board

NVIDIA Jetson AGX Orin Developer Kit Jetson AGX Thor Development Kit Server Grade

CN¥139.00
SKU: 100233524026
Status:In Stock (18)
ID: 100178832921
Weight: 66.00 g
Dims:150x108x86 mm

Variants / Sale Attributes

Color: AGX Orin dedicated M.2 solidstate drive

Package Contents

AGX Orin dedicated M.2 SSD *1

Product Description

Overview

Brand
NVIDIA
Product
Jetson AGX Orin
AI Performance
Up to 275 TOPS (Tera Operations Per Second), delivering 8 times the performance of NVIDIA AGX Xavier
GPU
NVIDIA Ampere architecture with 2048 CUDA cores and 64 Tensor Cores
CPU
12-core Arm Cortex-A78AE v8.2 64-bit CPU with 3MB L2 cache and 6MB L3 cache
Deep Learning Accelerators
Vision accelerators including 2x NVDLA v2.0 and PVA v2.0
Memory

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32GB 256-bit LPDDR5
Storage
64GB eMMC 5.1
Memory Bandwidth
204.8 GB/s

Video Encoding and Decoding Support

  • 2x 4K60, 4x 4K30, 1x 8K30, 3x 4K60, 8x 1080p60, 7x 4K30, 11x 1080p60, 16x 1080p30 (H.265), 22x 1080p30 (H.265)

Module form factor identical to Jetson AGX Xavier

Additional details

Configurable power consumption range
15W to 60W

Reference carrier board includes

ItemDetail
Camera interfaces16-channel MIPI CSI-2 connectors
NetworkRJ45 Ethernet up to 10 GbE
PCIe slotsx16 PCIe, x8 PCIe 4.0 (low latency), M.2 Key M, M.2 Key E, x4 PCIe 4.0, x1 PCIe 4.0
Other interfacesUSB 2.0, UART, I2S

Designed for high-performance, energy-efficient autonomous machines and edge AI applications

Additional details

Suitable industries
Manufacturing, logistics, retail, service, agriculture, smart cities, healthcare, life sciences
Use cases
Advanced robotics, intelligent video analytics, smart robotics, AI-powered healthcare solutions, and smart city infrastructure

The NVIDIA Jetson AGX Orin module delivers up to 275 TOPS of AI compute power, significantly outperforming its predecessor, the AGX Xavier. It supports multiple high-speed sensor interfaces and offers a flexible power envelope, making it ideal for next-generation autonomous machines and edge AI deployments across diverse industries.

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