NVIDIA Jetson Orin Nano 8GB - 900-13767-0030-000

Home > NVIDIA Jetson Developer Kits / Modules >

If you are a company within the EU other than Ireland, please provide your VAT number, preceded by your country code at check out and we will remove and re-fund the VAT element prior to shipping.

Also if you are a purchaser based in Norway, Switzerland or UK, we will re-fund the VAT element prior to shipping and will ship, delivery at place (DAP) and purchaser will be responsible for local taxes, duties and tariffs, if applicable.

Jetson Orin Nano 8GB

1024-core NVIDIA Ampere
architecture GPU with
32 tensor cores
6-core Arm Cortex-A78AE v8.2
8GB 128-bit LPDDR5
Support for external NVMe

For 10 or more, please contact us on our details below:

T: +44 (0)118 981 6888
E: [email protected]

Our Price (ex VAT): €343.17

Stock Status:In Stock

Product Code: 900-13767-0030-000

Qty:

Description

Features

Technical information

The NVIDIA Jetson Orin Nano 8GB module delivers up to 40 TOPS of AI performance in the smallest Jetson form-factor, with power configurable from 7W to15W. This gives you up to 30X the performance of NVIDIA Jetson TX2 NX and extends the reach of entry-level Edge AI.

This system-on-module is pin-compatible with Jetson Orin NX, and supports multiple concurrent AI application pipelines with high-speed IO and an NVIDIA Ampere architecture GPU. This enables lower-priced consumer, retail analytics, and industrial QA devices to benefit from more complex AI models.

Jetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC catalog.

Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.

Jetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.

Generative AI Models at the Edge Powered by NVIDIA Jetson Orin

	Jetson Orin Nano 8GB Module
AI Performance	40 TOPS
GPU	1024-core NVIDIA Ampere architecture GPUwith 32 tensor cores
Max GPU Freq.	625MHz
CPU	6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3
CPU Max Freq.	1.5GHz
Memory	8GB 128-bit LPDDR5 68GB/s
Storage	(Supports external NVMe)
Camera	Up to 4 cameras (8 via virtual channels*) 8 MIPI CSI-2 lanes D-PHY 2.1 (up to 20Gbps)
Video Encode	1080p30 supported by 1-2 CPU cores
Video Decode	1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265)
PCIe	1 x4 + 3 x1 (PCIe Gen3, Root Port, and Endpoint)
USB	3x USB 3.2 Gen2 (10Gbps) 3x USB 2.0
Networking	1x GbE
Display	1x 4K30 multi-mode DP 1.2 (+MST)/eDP 1.4/HDMI 1.4
Other I/O	3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs
Power	7W - 15W
Mechanical	69.6mm x 45mm 260-pin SO-DIMM connector

Feature	Jetson AGX Xavier	Jetson Orin NX 8GB (coming soon)	Jetson Orin NX 16GB	Jetson AGX Orin 32GB	Jetson AGX Orin 64GB
AI Performance	32 TOPS	70 TOPS	100 TOPS	200 TOPS	275 TOPS
GPU	512 Core Volta, with 64 Tensor Cores	1024 Core Ampere, with 32 Tensor Cores	1024 Core Ampere, with 32 Tensor Cores	1792 Core Ampere, with 56 Tensor Cores	2048 Core Ampere, with 64 Tensor Cores
DL Accelerator	(2x) NVDLA	(1x) NVDLA V2.0	(2x) NVDLA V2.0	(2x) NVDLA V2.0	(2x) NVDLA V2.0
Vision Accelerator	(2x) 7-way VLIW Processor	PVA v2.0	PVA v2.0	(2x) 7-way VLIW Processor	(2x) 7-way VLIW Processor
CPU	8 core Carmel ARM CPU 2MB L2 + 4MB L3	6-core Arm Cortex-A78AE 1.5MB L2 + 4MB L3	8-core Arm Cortex-A78AE 2MB L2 + 4MB L3	8 core Arm Cortex-A78AE 2MB L2 + 4MB L3	12 core Arm Cortex-A78AE 3MB L2 + 6MB L3
Memory	16GB 256-bit LPDDR4x @ 2133MHz 137 GB/s	8GB 128-bit LPDDR5 @ 2133 HMz 102.4 GB/s	16GB 128-bit LPDDR5 @ 2133 HMz 102.4 GB/s	32GB 256-bit LPDDR5 @ 2133MHz 205 GB/s	64GB 256-bit LPDDR5 @ 2133MHz 205 GB/s
Storage	32GB/64GB eMMC	Supports external NVMe	Supports external NVMe	64GB eMMC	64GB eMMC
Video Encode	2x8K @30 \| 6x4K @60 \| 12x4K @30 \| 26x1080p @60 \| 52x1080p @30 (HEVC) \| 30x1080p @30 (H.264)	1x 4K60 \| 3x 4K30\| 6x 1080p60 \| 12x 1080p30 (H.265), H.264, H.265, AV1	1x 4K60 \| 3x 4K30\| 6x 1080p60 \| 12x 1080p30 (H.265), H.264, H.265, AV1	1x 4K60 \| 3x 4K30 \| 6x 1080p60 \| 12x 1080p30 (H.265) H.264, AV1	2x 4K60 \| 4x 4K30 \| 8x 1080p60 \| 16x 1080p30 (H.265) H.264, AV1
Video Decode	(2x) 8Kp30 / (6x) 4Kp60	1x 8K30 \| 2x 4K60 \| 4x 4K30 \| 9x 1080p60 \| 18x 1080p30 (H.265) H.264, H.265, VP9, AV1	1x 8K30 \| 2x 4K60 \| 4x 4K30 \| 9x 1080p60 \| 18x 1080p30 (H.265) H.264, H.265, VP9, AV1	1x 8K30 \| 2x 4K60 \| 4x 4K30 \| 9x 1080p60\| 18x 1080p30 (H.265) H.264, VP9, AV1	1x 8K30 \| 3x 4K60 \| 7x 4K30 \| 11x 1080p60\| 22x 1080p30 (H.265) H.264, VP9, AV1
Camera	16 lanes MIPI CSI-2 \| 8 lanes SLVS-EC D-PHY 40Gbps / C-PHY 109Gbps	Up to 4 cameras (8 via virtual channels*) 8 lanes MIPI CSI-2 D-PHY 1.2 (20 Gbps)	Up to 4 cameras (8 via virtual channels*) 8 lanes MIPI CSI-2 D-PHY 1.2 (20 Gbps)	16 lane MIPI CSI-2 connector	16 lane MIPI CSI-2 connector
PCI Express	16 lanes PCIe Gen 4 1x8 + 1x4 + 1x2 + 2x1	3 x1 + 1 (x4 PCIe Gen 4)	3 x1 + 1 (x4 PCIe Gen 4)	Up to 2 x8, 1 x4, 2 x1 (PCIe Gen4, Root Port & Endpoint)	Up to 2 x8, 1 x4, 2 x1 (PCIe Gen4, Root Port & Endpoint)
Mechanical	100mm x 87mm 699 pin connector	69.6mm x 45mm 260-pin connector	69.6mm x 45mm 260-pin connector	100mm x 87mm 699 pin connector	100mm x 87mm 699 pin connector
Power	10W / 15W / 30W	10W / 15W / 20W	10W / 15W / 25W	15W - 40W	15W - 60W

Product Support
Find everything you need to get started and download the SDK at the NVIDIA Developer Site.

NVIDIA Jetson systems provide the performance and power efficiency to run autonomous machines software, faster and with less power. Each is a complete System-on-Module (SOM), with CPU, GPU, PMIC, DRAM, and flash storage—saving development time and money. Jetson is also extensible. Just select the SOM that’s right for the application, and build the custom system around it to meet its specific needs.