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₹18,385.99 (Including tax)
Discount per Bulk Quantity
Quantity | Discount | Price |
---|---|---|
5 - 10 | 5% | ₹17,466.70 (Including tax) |
11 - 20 | 8% | ₹16,915.12 (Including tax) |
21 - 40 | 10% | ₹16,547.40 (Including tax) |
41 - 100 | 12% | ₹16,179.67 (Including tax) |
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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 TensorRTâ„¢ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.
1 x NVIDIA Jetson Nano Module
Product Name |
NVIDIA Jetson Nano Module |
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GPU |
NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores |
CPU |
Quad-core ARM Cortex-A57 MP Core processor |
AI Performance |
0.5 TFLOPS (FP16) |
Memory |
4 GB 64-bit LPDDR4 ,1600MHz 25.6 GB/s |
Storage |
16 GB eMMC 5.1 |
Video Encoder |
250MP/sec(1x 4K @ 30 (HEVC) ,2x 1080p @ 60 (HEVC) ,4x 1080p @ 30 (HEVC) ,4x 720p @ 60 (HEVC) ,9x 720p @ 30(HEVC)) |
Video Decoder |
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 (3×4 or 4×2) 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 |
Other |
GPIO ,I2C ,I2S ,SPI ,UART |
Mechanical |
69.6 mm x 45 mm ,260-pin edge connector |
Power Consumptions |
5-10W |
Dimensions |
45 x 70mm |
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Processor |
Samsung Exynos5422 ARM® Cortex™-A15 Quad 2.0GHz/Cortex™-A7 Quad 1.4GHz |
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Memory |
2Gbyte LPDDR3 RAM PoP (750Mhz ,12GB/s memory bandwidth ,2x32bit bus) |
3D Accelerator |
Mali-T628 MP6 OpenGL ES 3.1 / 3.0 / 2.0 / 1.1 and OpenCL 1.2 Full profile |
Audio |
HDMI Digital audio output. Optional USB sound card |
USB3.0 Host |
SuperSpeed USB standard A-type connector x 2 port |
USB2.0 Host |
HighSpeed USB standard A type connector x 1 port |
Display |
HDMI 1.4a with a Type-A connector |
Storage (Option) |
eMMC module socket : eMMC 5.0 Flash Storage (up to 64GByte) |
MicroSD Card Slot |
up to 128GByte |
Fast Ethernet LAN |
10/100/1000Mbps Ethernet with RJ-45 Jack ( Auto-MDIX support) |
WiFi (Option) |
USB IEEE 802.11 ac/b/g/n 1T1R WLAN with Antenna (External USB adapter) |
HDD/SSD SATA interface (Optional) |
SuperSpeed USB (USB 3.0) to Serial ATA3 adapter for 2.5″/3.5″ HDD and SSD storage |
Power Input |
4.8Volt~5.2Volt (5V/4A Power supply is recommended) |
System Software |
Ubuntu 16.04 + OpenGL ES + OpenCL on Linux Kernel 4.14 LTS Android 4.4.2 on Kernel LTS 3.10 Android 7.1 is available as a community driven OS development. Full source code is accessible via our Github. |
Dimensions (L x W x H) mm |
83 x 58 x 20 |
Weight (gm) |
38 (without cooler approx.) |
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