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NVIDIA Jetson NANO 4GB Dev Kit

Name: NVIDIA Jetson NANO 4GB Dev Kit
SKU: 10.03.081.031
Price: 10280.86 TRY
Availability: OutOfStock

Product Code : 10.03.081.031

8,567.38 TL + VAT

10,280.86 TL (VAT Included)

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Jetson NANO 4GB Dev Kit ( NVIDIA Nano Module + WAVESHARE Jetson IO Base A + Heat Sink)

If the constraint in the production of the original Jetson Nano Development Kit B01 prevents your work, meet our alternative product: Jetson NANO 4GB Dev Kit. Alternative DEV kit includes; The original NANO core module, Waveshare IO BASE A board on which the NANO module is mounted and a heatsink . Besides the performance indicators are the same as the original kit!

Nvidia Jetson NANO Core Module	+	Waveshare IO BASE BOARD A	+	Heatsink (Heat Dissipation)
	+		+

The NVIDIA Jetson Nano Developer Kit delivers the computational capability required to run modern AI algorithms in an unmatched size, power consumption, and price. Developers, self-learners, and makers can now run AI software development environments and models such as image classification, object detection, segmentation, and language processing.

Key differences between the original Nvidia kit and this product:

	NVIDIA JETSON NANO DEVELOPER KİT -B01	JETSON NANO DEV KİT (This Product)
Görünüm	-	Almost identical to the original kit; Base card and original NANO module case and dimensions match.
NANO Core Board üzerinde	There is no built-in storage, instead TF card support is provided.	The TF card on the Core Board has been canceled, the built-in 16 Gb eMMC provides more stable reading and writing, it provides working / storage space by eliminating the need for a micro-SD card as a start-up disk in many studies. eMMC burning process can be provided on ubuntu host with NVIDIA SDK Manager tool.
Booting	TF card booting	USB flash drive booting VE TF card booting desteği
Güç Beslemesi	1- Via DC Jack (5v/4a) AND 2- from micro-USB interface (5v/2a) To select between the two supplies, the jumper behind the DC jack must be shorted. this way external power supply can be used!!!	Similar structures are also available in the Dev Kit, but the jumper (J48) on the original board for power supply selection has been completely removed and no jumpers are used to select between power supplies. This is presented as a user-friendly design/improvement for beginners.
GPIO	Colorless 40PIN GPIO Interface available	Colored 40PIN GPIO interface makes it easy to use.

Features

NANO 4GB Core Module:

GPU	NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores and 0.5 TFLOPS (FP16)
CPU	Quad-core ARM® Cortex®-A57 MPCore processor
Memory	4 GB 64-bit LPDDR4 1600 MHz – 25.6 GB/s
Storage	16 GB eMMC 5.1 Flash Storage
Video Encode	250 MP/s 1 x 4K @ 30 (HEVC) 2 x 1080p @ 60 (HEVC) 4 x 1080p @ 30 (HEVC)
Video Decode	500 MP/s 1 x 4K @ 60 (HEVC) 2 x 4K @ 30 (HEVC) 4 x 1080p @ 60 (HEVC) 8 x 1080p @ 30 (HEVC)
Camera	12-ch (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	EDP 1.4 \| DSI (1 x 2) 2 simultaneous
UPHY	1 x 1/2/4 PCIe, 1 x USB 3.0, 3 x USB 2.0
IO	3 x UART, 2 x SPI, 2 x I2S, 4 x I2C, multi GPIO headers