Jetson Store

USB	4x USB 3.0, USB 2.0 Micro-B
Camera Connector	1x MIPI CSI-2 DPHY lanes
Connectivity	Gigabit Ethernet, M.2 Key E
Storage	microSD (not included)
Display	HDMI 2.0 and eDP 1.4
Others	GPIO, I²C, I²S, SPI, UART

Add To cart

Overview
Specs

Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IOT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

GPU	NVIDIA Maxwell^™ architecture with 128 NVIDIA CUDA^® cores
CPU	Quad-core ARM^® Cortex^®-A57 MPCore processor
Memory	4 GB 64-bit LPDDR4
Storage	16 GB eMMC 5.1 Flash
Video Encode	4K @ 30 (H.264/H.265)
Video Decode	4K @ 60 (H.264/H.265)
Camera	12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)
Connectivity	Gigabit Ethernet
Display	HDMI 2.0 or DP1.2 \| eDP 1.4 \| DSI (1 x2) 2 simultaneous
UPHY	1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
I/O	1x SDIO / 2x SPI / 6x I2C / 2x I2S / GPIOs
Size	69.6 mm x 45 mm
Mechanical	260-pin edge connector

Overview
Specs

Technical Specifications
GPU	NVIDIA Maxwell^™ architecture with 128 NVIDIA CUDA^® cores
CPU	Quad-core ARM^® Cortex^®-A57 MPCore processor
Memory	4 GB 64-bit LPDDR4
Storage	16 GB eMMC 5.1 Flash
Video Encode	4K @ 30 (H.264/H.265)
Video Decode	4K @ 60 (H.264/H.265)
Camera	12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)
Connectivity	Gigabit Ethernet
Display	HDMI 2.0 or DP1.2 \| eDP 1.4 \| DSI (1 x2) 2 simultaneous
UPHY	1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
I/O	1x SDIO / 2x SPI / 6x I2C / 2x I2S / GPIOs
Size	69.6 mm x 45 mm
Mechanical	260-pin edge connector

ALLE JETSON XAVIER NX-PRODUKTE ANSEHEN

Entwicklerkit
Modul

Überblick
Technische Daten

Das NVIDIA^® Jetson Xavier NX^™ Entwicklerkit bringt Supercomputer-Leistung an den Edge. Es beinhaltet ein Jetson Xavier NX-Modul zur Entwicklung multimodaler KI-Anwendungen mit der NVIDIA-Zusatzsoftware bei nur 10 W. Sie erhalten jetzt auch die Vorteile der Cloud-nativen Unterstützung. Dadurch wird die Entwicklung und Bereitstellung von KI-Software auf Edge-Geräten einfacher.

Das Entwicklerkit wird von der kompletten NVIDIA-Zusatzsoftware unterstützt, einschließlich beschleunigter SDKs und der neuesten NVIDIA-Tools für die Anwendungsentwicklung und -Optimierung. Ein Jetson Xavier NX-Modul und eine Trägerplatine zur Referenz sind im Lieferumfang enthalten, ebenso wie ein AC-Netzteil.

Technische Daten des Entwicklerkits
Grafikprozessor	NVIDIA Volta^™-Architektur mit 384 NVIDIA^® CUDA^®-Recheneinheiten und 48 Tensor-Recheneinheiten
CPU	NVIDIA Carmel ARM^® v8.2 64-Bit-CPU, 6 Cores 6 MB L2 + 4 MB L3
DLA	2x NVDLA-Engines
Vision-Beschleuniger	7-Wege-VLIW-Vision-Prozessor
Arbeitsspeicher	4x LPDDR mit 8 GB und 128 Bit 51,2 Gbit/s
Datenspeicher	microSD (Karte nicht enthalten)
Videokodierung	2x 4Kp30 \| 6x 1080p 60 \| 14x 1080p30 (H.265/H.264)
Videodekodierung	2x 4Kp60 \| 4x 4Kp30 \| 12x 1080p60 \| 32x 1080p30 (H.265) 2x 4Kp30 \| 6x 1080p60 \|16x 1080p30 (H.264)
Kamera	2x MIPI CSI-2 D-PHY Spuren
Anschlüsse	Gigabit-Ethernet, M.2 Key E (inklusive WLAN/BT), M.2 Key M (NVMe)
Bildschirm	HDMI und DP
USB	4x USB 3.1, USB 2.0 Micro-B
Andere	GPIOs, I2C, I2S, SPI, UART
Mechanik	103 mm x 90,5 mm x 34 mm

Bei unseren Partnern kaufen

Jetson-Entwicklerkits sind auf Softwareentwicklung und System-Prototyping ausgelegt. Hier mehr erfahren.

Überblick
Technische Daten

Das energieeffiziente Jetson Xavier NX-Modul ist kleiner als eine Kreditkarte (70 x 45 mm) und bietet eine Leistung der Serverklasse: 21 TOPS (bei 15 W) oder bis zu 14 TOPS (bei 10 W). So können mehrere moderne neuronale Netze parallel ausgeführt und Daten aus mehreren hochauflösenden Sensoren verarbeitet werden – eine Voraussetzung für vollständig auf KI-basierende Systeme. Die verfügbare Cloud-native Unterstützung macht es einfacher denn je, KI-Software auf Peripheriegeräten zu entwickeln und bereitzustellen.

Jetson Xavier NX ist serienreif und unterstützt alle gängigen KI-Frameworks. Dadurch wird die Tür für eingebettete Geräte für das Edge-Computing geöffnet, die eine höhere Leistung zur Unterstützung von KI-Workloads erfordern, jedoch hinsichtlich Größe, Gewicht, Energiebudget oder Kosten eingeschränkt sind.

Technische Modul-Spezifikationen
KI-Leistung	21 TOPS
Grafikprozessor	NVIDIA Volta^™ GPU mit 384 Cores und 48 Tensor-Cores
CPU	NVIDIA Carmel Arm^® v 8.2 64-Bit-CPU, 6 Cores 6 MB L2 + 4 MB L3
Arbeitsspeicher	8 GB, 128-Bit-LPDDR4x 51,2 GB/s
Datenspeicher	16 GB eMMC 5.1
Leistung	10 W\|15 W
PCIe	1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), insgesamt 144 GT/s*
CSI-Kamera	Bis zu 6 Kameras (24 über virtuelle Kanäle) 14 Lanes (3x4 or 6x2) MIPI CSI-2 D-PHY 1.2 (bis zu 30 Gbit/s)
Videokodierung	2x 4Kp30 \| 6x 1080p60 \| 14x 1080p30 (H.265 & H.264)
Videodekodierung	2x 4Kp60 \| 4x 4Kp30 \| 12x 1080p60 \| 32x 1080p30 (H.265) 2x 4Kp30 \| 6x 1080p60 \| 16x 1080p30 (H.264)
Bildschirm	2 Multi-Mode DP 1.4/eDP 1.4/HDMI 2.0
DL-Beschleuniger	2x NVDLA-Engines
Vision-Beschleuniger	7-Wege-VLIW-Vision-Prozessor
Netzwerk	10/100/1000 BASE-T Ethernet
Mechanik	69,6 mm x 45 mm 260-poliger SO-DIMM-Sockel

* Eine Liste der unterstützten Funktionen finden Sie im aktuellen NVIDIA Jetson Linux-Entwicklerhandbuch im Abschnitt „Softwarefunktionen“

Bei unseren Partnern kaufen

Jetson TX2

Dev Kit
Module

Overview
Specs

The NVIDIA Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer on a module. It exposes the hardware capabilities and interfaces of the module and is supported by NVIDIA Jetpack—a complete SDK that includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.

Click for more information on Academic or Inception discounts.

PCIe	Gen 2 \| 1x4 + 1x1 OR 2x1 + 1x2
USB	USB 3.0 + USB 2.0
Camera	Up to 6 Cameras (2 Lane) CSI2 D-PHY 1.2 (2.5 Gbps/Lane)
Connectivity	Connects to 801.11ac WLAN and Bluetooth
Storage	32 GB eMMC
Display	HDMI
Others	GPIO, I2 C, I2 S, SPI, CAN, UART

Click for more information on Academic or Inception discounts.

Overview
TX2 (8GB) Specs
TX2 (4GB) Specs
TX2i Specs

Jetson TX2 is a 7.5-watt supercomputer on a module that brings true AI computing at the edge. It's built around an NVIDIA Pascal^™-family GPU and loaded with 8 GB of memory and 59.7 GB/s of memory bandwidth. It features a variety of standard hardware interfaces that make it easy to integrate it into a wide range of products and form factors.

Jetson^™ TX2i module’s rugged design, small form factor, and reduced power envelope make it ideal for high-performance edge computing devices such as industrial robots, machine vision cameras, and portable medical equipment.

Explore new AI capabilities at the edge with the NVIDIA Jetson TX2 4GB. This embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1—at the same price.

Technical Specifications
GPU	NVIDIA Pascal^™ architecture with 256 NVIDIA CUDA cores
CPU	Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
Memory	8 GB 128-bit LPDDR4
Storage	32 GB eMMC 5.1
Video Encode	2x 4K @ 30 (HEVC)
Video Decode	2x 4K @ 30, 12-bit support
Connectivity	Wi-Fi onboard
	Gigabit Ethernet
Camera	12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
Display	HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
UPHY	Gen 2 \| 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
Size	87 mm x 50 mm
Mechanical	400-pin connector with Thermal Transfer Plate (TTP)

Technical Specifications
GPU	NVIDIA Pascal^™ architecture with 256 NVIDIA CUDA cores
CPU	Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
Memory	4 GB 128-bit LPDDR4
Storage	16 GB eMMC 5.1
Video Encode	2x 4K @ 30 (HEVC)
Video Decode	2x 4K @ 30, 12-bit support
Connectivity	Wi-Fi requires external chip
	Gigabit Ethernet
Camera	12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
Display	HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
UPHY	Gen 2 \| 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
Size	87 mm x 50 mm
Mechanical	400-pin connector with Thermal Transfer Plate (TTP)

Buy From Partners

Technical Specifications
GPU	NVIDIA Pascal^™ architecture with 256 NVIDIA CUDA cores
CPU	Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
Memory	8 GB 128-bit LPDDR4
Storage	32 GB eMMC 5.1
Video Encode	2x 4K @ 30 (HEVC)
Video Decode	2x 4K @ 30, 12-bit support
Connectivity	Wi-Fi requires external chip
	Gigabit Ethernet
Camera	12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
Display	HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
UPHY	Gen 2 \| 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
Size	87 mm x 50 mm
Mechanical	400-pin connector with Thermal Transfer Plate (TTP)

Buy From Partners

Jetson AGX Xavier

Dev Kit
Module

Overview
Specs

With the NVIDIA Jetson AGX Xavier developer kit, you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA^®, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away. And because it’s powered by the new NVIDIA Xavier processor, you now have more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. Get started today with the Jetson AGX Xavier Developer Kit.

Click for more information on Academic or Inception discounts.

PCIe X16	X8 PCIe Gen4/x8 SLVS-EC
RJ45	Gigabit Ethernet
USB-C	2x USB 3.1, DP (Optional), PD (Optional) Close-System Debug and Flashing Support on 1 Port
Camera Connector	(16x) CSI-2 Lanes
M.2 Key M	NVMe
M.2 Key E	PCIe x1 + USB 2.0 + UART (for Wi-Fi/LTE) / I2S + DMIC + GPIOs
HD Audio Header	High-Definition Audio
eSTATp + USB 3.0 Type A	SATA Through PCIe x1 Bridge + USB 3.0 (PD + Data for 2.5-inch SATA)
HDMI Type A/eDP/DP	HDMI 2.0, eDP 1.2a, DP 1.4
uSD/UFS Card Socket	SD/UFS

Click for more information on Academic or Inception discounts.

Overview
Specs

The Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10 W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to quickly train and deploy neural networks.

GPU	512-Core Volta GPU with Tensor Cores
DL Accelerator	(2x) NVDLA Engines
CPU	8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3
Memory	32 GB 256-Bit LPDDR4x \| 137 GB/s
Display	HDMI 2.0, eDP1.4, DP HBR3
Storage	32 GB eMMC 5.1
Vision Accelerator	7-Way VLIW Vision Processor
Video Encode	8x 4K @ 60 (HEVC)
Video Decode	12x 4K @ 30 12-bit support
Camera	(16x) CSI-2 Lanes
UPHY	(8x) PCIe Gen4 / (8x) SLVS-EC (3x) USB 3.1 Single Lane UFS
Other	UART, SPI, CAN, I2C, I2S, DMIC, GPIOs
Connectivity	Gigabit Ethernet
Size	87 mm x 100 mm
Mechanical	699 pin Molex Mirror Mex Connector Integrated Thermal Transfer Plate

Overview
Specs