AIBOX-OrinNano Jetson Orin Nano Embedded PC

Regular price $699.00 USD
Regular price Sale price $699.00 USD
Shipping calculated at checkout.
Storage: 8G RAM+128G ROM
Spec: Stand-alone standard
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Brand: Firefly
Availability: 2 in stock
Regular price $699.00 USD
Regular price Sale price $699.00 USD

Machines with deployed DeepSeek specifications come with deployment software and model files for DeepSeek-R1 series distillation models, allowing you to quickly run the reasoning of DeepSeek-R1 series distillation models at hand

Module

NVIDIA Jetson OrinNano (8GB) module

Ai performance

67 TOPS

Video encoding

H.265:1x4K60, 3x4K30, 6x1080p60, 12x1080p30

Video decoding

H.265:1 x 8K30, 2 x 4K60, 4 x 4K30, 9 x 1080p60, 18 x 1080p30

Traditional network architectures
  • Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development.
  • Docker container management technology facilitates easy image deployment.
Memory

8GB LPDDR5

Ai software stack

NVIDIA Jetson Orin offers unparalleled AI computing, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.

Large model
  • Robotic models: ROS models.
  • Large language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.
  • Vision models: ViT, Grounding DINO, and SAM.
  • AI painting: Stable Diffusion V1.5 image generation model in the AIGC field.
Cpu

Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz

Power

DC 12V(DC 5.5 x 2.1mm)

Power consumption
  • Normal: 7.2W (12V/600mA)
  • Max: 18W (12V/1500mA)
Video output

1×HDMI 2.1 (4K@60fps)

Os

The Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN.

Dimension

93.4 mm x 93.4 mm x 50 mm

Weight

≈ 500g

Environment
  • Operating temperature: -20℃~60℃
  • Storage temperature: -20℃~70℃
  • Storage Humidity: 10%~90%RH (non-condensing)
Watchdog

Support external watchdog

Ethernet

1 × Gigabit Ethernet (1000Mbps / RJ45)

Usb

2 × USB 3.0 (Max: 1A)

Other
  • 1 × Type-C (USB 2.0 OTG)
  • 1 × Console (debug serial port)
  • 1 × Recovery
  • 1 × power button
Product tutorials Click Here
Sdk software and firmware files Click Here

More details about Shipping Policy: Click Here

Our cooperating carriers: FedEx, DHL, UPS, SF Express

Delivery Area And Cost

Country/Region 0.0001-2kg 2.0001-3kg 3.0001-4kg 4.0001-5kg 5.0001-6kg 6.0001-7kg 7.0001-8kg 8.0001-9kg 9.0001-10kg
Japan, Taiwan, Hong Kong, Macau $15 $20 $25 $30 $35 $40 $45 $50 $55
Indonesia, Philippines $25 $30 $40 $50 $60 $70 $80 $85 $95
South Korea $25 $35 $35 $45 $45 $55 $55 $65 $65
Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, United States, Australia, New Zealand, Austria, Belgium, Denmark $30 $45 $55 $65 $75 $85 $95 $105 $115
Canada, United Kingdom $40 $50 $60 $75 $85 $95 $105 $115 $130
Hungary, India, Israel, Laos, Myanmar, Poland, Saudi Arabia, Turkey, United Arab Emirates, Vietnam, Bangladesh, Qatar, Cyprus, Pakistan, Brunei, Sri Lanka, Jordan, Oman, Maldives, Bulgaria, Iceland, Slovakia, Lithuania, Romania, Albania, Armenia, Mexico, Nepal, Serbia, Cambodia, Croatia, Czech Republic, Slovenia, Kazakhstan $50 $65 $80 $95 $110 $125 $135 $150 $165
Singapore, Thailand, Malaysia $20 $25 $30 $35 $40 $45 $50 $55 $60

 

Shipping Time (for reference only, the actual situation shall prevail):

Area  Shipping time
Europe 3 - 7 business days
Asia, Oceania 3 - 7 business days
North America 3 - 7 business days
South America 5 - 10 business days

 

Please check which area your region/country is in.

Order preparation time: 3-7 business days (specific details need to refer to the order situation).