Raspberry Pi 4 Computer... MicroSD Card Size-Sandisk 32GB Class 10 UHS-I microSDHC, RAM-4GB
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Raspberry Pi 4 Computer... MicroSD Card Size-Sandisk 32GB Class 10 UHS-I microSDHC, RAM-2GB
BDT 7,520
Raspberry Pi 4 Computer... MicroSD Card Size-Sandisk 32GB Class 10 UHS-I microSDHC, RAM-2GB
BDT 7,420 Raspberry Pi 4 Computer... MicroSD Card Size-Sandisk 32GB Class 10 UHS-I microSDHC, RAM-2GB
BDT 9,640
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Reference: 984
Heat Shrink Tube
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NVIDIA Jetson Nano Developer Kit-B01
1373
The power of modern AI is now available for makers, learners, and embedded developers everywhere.
NVIDIA® Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.
Store Pickup Available!
Free Ship Over 5000 BDT
Quality Product
No Warranty
No Replacement
Description
Description
The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
Key Features
Jetson Nano Module
- 128-core NVIDIA Maxwell™ GPU
- Quad-core ARM® A57 CPU
- 4 GB 64-bit LPDDR4
- 10/100/1000BASE-T Ethernet
Power Options
- Micro-USB 5V 2A
- DC power adapter 5V 4A
I/O
- USB 3.0 Type A
- USB 2.0 Micro-B
- HDMI/DisplayPort
- M.2 Key E
- Gigabit Ethernet
- GPIOs, I2C, I2S, SPI, UART
- MIPI-CSI camera connector
- Fan connector
- PoE connector
Kit Contents
- NVIDIA Jetson Nano module and carrier board
- Quick Start Guide and Support Guide
Specifications
- GPU: 128-core Maxwell
- CPU:Quad-core ARM A57 @ 1.43 GHz
- Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
- Storage: microSD (not included)
- Video Encoder: 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
- Video Decoder: 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30|(H.264/H.265)
- Camera: 2x MIPI CSI-2 DPHY lanes
- Connectivity: Gigabit Ethernet, M.2 Key E
- Display: HDMI 2.0 and eDP 1.4
- USB: 4x USB 3.0, USB 2.0 Micro-B
- Others: GPIO, I2C, I2S, SPI, UART
- Mechanical: 100 mm x 80 mm x 29 mm
Version Change Information for B01 from A02
- The B01 revision carrier is compatible with the production specification Jetson Nano module. The A02 revision carrier is not.
- Removed Button Header [J40] Position
- Removed Serial Port Header [J44] Position
- Adjusted the Position of Power Select Jumper [J48]
- Adjusted the Position of Camera Connector [J13]
- Added Camera Connector [J49] location
- Factory JetPack Upgrade from 4.2 SDK to 4.3 SDK
Product Details
1373
প্রডাক্ট রিভিউ
12/02/2021
রিফাত
টাইমলি ডেলিভারি পাইছি, প্রোডাক্ট প্যকেজিং ভালো ছিল।
Got it in good condition
25/11/2020
fuad
Good
Quality product, quality service
22/09/2020
Ishraq Hasan
Arrived in mint condition, and works without any error. Used for several days and no bugs were encountered at all. Got my order home delivered and it sustained no harm when shipping. Thank you.
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