NVidia: Jetson Nano Module - 4GB - 900-13448-0020-000

SKU

MD-01734

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PKR29,500.00

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Categories: Development Boards, Single Board Computer

Details

Description

NVIDIA Jetson Nano Module is an SoM of Jetson Nano Development Kit. Basically, it can be used to assemble an SBC with an extension board to achieve graphic AI applications. With this powerful AI SoM, developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

This Module contains most features of the Jetson Nano Development Kit, including main GPU, CPU and many user interfaces like CSI, USB, GPIO, etc. The significant difference may cause by the storage, which is 16GB eMMC in Jetson Nano Module instead of the MicroSD card in the Jetson Nano Development Kit. All these functions can be realized by an M.2 Key E connector.

Similarly for the software, the NVIDIA Jetson Nano Module supports 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.

Features

Compact size SoM powerful enough for advanced AI applications with low power consumption
Supports entire NVIDIA Software Stack for application development and optimization
Enables development of AI applications using NVIDIA JetPack™ SDK
Easy to build, deploy, and manage AI at the edge
Flexible and scalable platform to get to market with reduced development costs
Continuous updates over the lifetime of the product

Comparison Between The NVIDIA Jetson AI Modules

	Jetson Nano 4GB	Jetson TX2 NX	Jetson TX2 Series	Jetson Xavier NX	Jetson AGX Xavier Series
AI Performance	0.5 TFLOPS (FP16)	1.33 TFLOPs	1.3 TFLOPS (FP16)	6 TFLOPS (FP16) 21 TOPS (INT8)	5.5-11 TFLOPS (FP16) 20-32 TOPS (INT8)
GPU	128-core NVIDIA Maxwell™ GPU	NVIDIA Pascal™ Architecture GPU with 256 CUDA cores	256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores	NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores	512-Core Volta GPU with Tensor Cores
CPU	Quad-core ARM A57 @ 1.43 GHz	Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore processor	Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore	6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3	8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3
Memory	4 GB 64-bit LPDDR4 25.6 GB/s	4GB 128-bit LPDDR4, 1600 MHz - 51.2 GB/s	8GB 128-bit LPDDR4 1866 MHz - 59.7 GB/s	8 GB 128-bit LPDDR4x @ 51.2GB/s	32 GB 256-Bit LPDDR4x \| 137 GB/s
Power Consumption	5-10W	7.5W / 15W	7.5-15W	10-15W	10-30W
Dimensions	45 x 70mm	45 x 70mm	50 x 87mm	45 x 70mm	100 x 87mm

Specifications

Specification	Details
GPU	NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
CPU	Quad-core ARM Cortex-A57 MPCore processo
Memory	4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s
Storage	16 GB eMMC 5.1
Video Encode	250MP/sec(1x 4K @ 30 (HEVC), 2x 1080p @ 60 (HEVC), 4x 1080p @ 30 (HEVC), 4x 720p @ 60 (HEVC), 9x 720p @ 30(HEVC))
Video Decode	500MP/sec(1x 4K @ 60 (HEVC), 2x 4K @ 30 (HEVC), 4x 1080p @ 60 (HEVC), 8x 1080p @ 30 (HEVC), 9x 720p @ 60 (HEVC))
Camera	12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (1.5 Gb/s per pair)
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	69.6 mm x 45 mm, 260-pin edge connector