AIBOX-1684X AI Embedded PC Edge Computing Video Analysis

Normaler Preis $369.00 USD
Normaler Preis Verkaufspreis $369.00 USD
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Normaler Preis $369.00 USD
Normaler Preis Verkaufspreis $369.00 USD

Discover AIBOX-1684X

AIBOX-1684X uses SOPHON AI processor BM1684X, which can be configured with 16GB large memory and 128GB eMMC; supports 32TOPS (INT8) peak computing power, 16TFLOPS (FP16/BF16) computing power, and 2TFLOPS (FP32) high-precision computing power; supports 32-channel H.265/H.264 1080p@25fps video decoding; supports mainstream programming frameworks, with a complete toolchain and high ease of use, and low algorithm migration cost; suitable for a variety of AI computing scenarios such as visual computing, edge computing, general computing services, smart transportation, unmanned supermarkets, and drones.

Shipping list
  • AIBOX-1684X x 1
  • 12V 4A power adapter x 1
  • Data cable (Type-C-2.0 data cable) x 1

Soc

SOPHON BM1684X

Cpu

High-performance octa-core ARM A53, 12nm lithography process, frequency up to 2.3 GHz

Tpu

32TOPS (INT8)、16TFLOPS (FP16/BF16)、2TFLOPS (FP32)

Vpu
  • 32-channel H.265/H.264 1080P@25fps video decoding
  • 1-channel H.265 8K@25fps video decoding
  • 32-channel 1080P@25fps processing decoding + AI analysis
  • 12-channel H.265/H.264 1080P@25fps video encoding
  • JPEG image encoding and decoding can reach 1080P@600fps
Ram

8GB/12GB/16GB LPDDR4/LPDDR4X

Storage

32GB/64GB/128GB eMMC, 1 × TF Card

Power

DC 12V/4A (5.5 × 2.5mm)

Power consumption
  • Normal: 20.4W (12V/1700mA)
  • Max: 43.2W (12V/3600mA)
System

Linux

Software support
  • The private deployment of ultra-large-scale parameter models under the Transformer architecture, including large language models such as LLaMa2, ChatGLM, and Qwen, as well as major visual models like ViT, Grounding DINO, and SAM.
  • The private deployment of the Stable Diffusion V1.5 image generation model in the AIGC field.
  • Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks, including TensorFlow, PyTorch, MXNet, PaddlePaddle, Caffe, and ONNX, as well as custom operator development.
  • Docker container management technology.
Dimension

90.6mm × 84.4mm × 48.5mm

Weight

≈ 420g

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

2 × Gigabit Ethernet (1000Mbps/RJ45)

Usb

2 × USB3.0 (Max: 1A), 1 × Type-C (Debug serial)

Button

1 × Power button

Product tutorials Click Here
Sdk software and firmware files Click Here

Weitere Details zur Versandrichtlinie: Hier klicken

Unsere Partner-Spediteure: FedEx, DHL, UPS, SF Express

Liefergebiet und Kosten

Land/Region 0-2kg 2kg+
Japan, Taiwan, Hongkong, Macau, Singapur, Thailand, Malaysia 15$ 15$ + 5$ pro kg
Indonesien, Philippinen 25$ 25$ + 10$ pro kg
Südkorea 25$ 25$ + 5$ pro kg
Finnland, Frankreich, Deutschland, Griechenland, Irland, Italien, Niederlande, Norwegen, Portugal, Spanien, Schweden, Schweiz, Vereinigte Staaten, Australien, Neuseeland, Österreich, Belgien, Dänemark 30$ 45$ + 10$ pro kg
Kanada, Vereinigtes Königreich 30$ 30$ + 10$ pro kg
Ungarn, Indien, Israel, Laos, Myanmar, Polen, Saudi-Arabien, Türkei, Vereinigte Arabische Emirate, Vietnam, Bangladesch, Katar, Zypern, Pakistan, Brunei, Sri Lanka, Jordanien, Oman, Malediven, Bulgarien, Island, Slowakei, Litauen, Rumänien, Albanien, Armenien, Mexiko, Nepal, Serbien, Kambodscha, Kroatien, Tschechische Republik, Slowenien, Kasachstan 50$ 50$ + 15$ pro kg

 

Lieferzeit (nur als Referenz, tatsächliche Lieferzeiten können abweichen):

Region  Lieferzeit
Europa 3 - 7 Tage
Asien, Ozeanien 3 - 7 Tage
Nordamerika 3 - 7 Tage
Südamerika 5 - 10 Tage

Auftragsvorbereitungszeit: 3-7 Tage (genaue Details hängen von der Bestellung ab).