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Brand Name : NVIDIA
Model Number : NVIDIA Jetson Nano
Place of Origin : USA
MOQ : 1PCS
Price : USD130-USD140\PCS
Payment Terms : L/C, D/A, D/P, T/T
Supply Ability : 100pcs 30work days
Delivery Time : 15-30 wok days
NAME : B01 4GB Nvidia Jetson Nano AI Development Board For Machine Learning
Keyword : B01 4GB Nvidia Jetson Nano AI Development Board For Machine Learning
CPU : Quad-core ARM® Cortex®-A57 MPCore processor
GPU : NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16)
Storage : 16 GB eMMC 5.1 Flash
Memory : 4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s
Camera : 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
Video Decode : 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)
Connectivity : Wi-Fi requires external chip 10/100/1000 BASE-T Ethernet
Display : HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
I/O : 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
UPYH : 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
Mechanical : 69.6 mm x 45 mm/260-pin edge connector
B01 4GB Nvidia Jetson Nano AI Development Board For Machine Learning
NVIDIA Jetson Nano Module
NVIDIA Jetson Nano module 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.
MASS-MARKET EDGE SYSTEMS NEED AI
128 CUDA Cores | 4 Core CPU
4 GB Memory
472 GFLOPs
70x45mm
5W | 10W
NVIDIA Jetson Nano is supported by NVIDIA JetPack™ with the same CUDA-X™ software stack used for breakthrough AI-based products across all industries. JetPack includes the latest NVIDIA tools for application development and optimization and supports cloud-native technologies like containerization and orchestration for simplified development and updates.
CPU | Quad-core ARM® Cortex®-A57 MPCore processor |
GPU | NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores |
Memory | 4 GB 64-bit LPDDR4 |
Storage | 16 GB eMMC 5.1 Flash |
Display | HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous |
Video Encode | 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265) |
Video Decode | 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265) |
Camera | 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps) |
Connectivity | Wi-Fi requires external chip |
10/100/1000 BASE-T Ethernet | |
Display | Three multi-mode DP 1.2a/e DP 1.4/HDMI 2.0 a/b |
PCIe* | 1 x4(PCIe Gen2) |
Networking | 10/100/1000 BASE-T Ethernet |
UPHY | 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0 |
I/O | 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs |
Mechanical | 69.6 mm x 45 mm |
260-pin edge connector |
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B01 4GB Nvidia Jetson Nano AI Development Board For Machine Learning Images |