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₹135,685.07 (Including tax)
Discount per Bulk Quantity
Quantity | Discount | Price |
---|---|---|
5 - 10 | 5% | ₹128,900.82 (Including tax) |
11 - 20 | 8% | ₹124,830.26 (Including tax) |
21 - 40 | 10% | ₹122,116.58 (Including tax) |
41 - 100 | 12% | ₹119,402.87 (Including tax) |
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NVIDIA Jetson™ TX2i module’s rugged design, small form factor, and reduced power envelope make it ideal for high-performance edges computing devices such as industrial robots, machine vision cameras, and portable medical equipment.
Jetson TX2 is the fastest, most power-efficient embedded AI computing device. This 7.5-watt supercomputer on a module brings true AI computing at the edge. It’s built around an NVIDIA Pascalâ„¢-family GPU and loaded with 8GB of memory and 59.7GB/s of memory bandwidth
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
1 x NVIDIA Jetson TX2i Module
Product Name |
NVIDIA Jetson TX2i Module |
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Brand |
Seeed Studio |
AI performance |
1.26 TFLOPs |
GPU |
256-core NVIDIA Pascalâ„¢ GPU |
CPU |
Dual-Core NVIDIA Denver 2 64-Bit CPU and Quad-Core ARM® Cortex®-A57 MP Core processor |
Memory |
8 GB 128-bit LPDDR4 (ECC Support) 51.2GB/s |
Storage |
32 GB eMMC 5.1 |
Power |
10W / 20W |
PCIE |
1 x1 + 1 x4 OR 1 x1 + 1 x1 + 1 x2 (PCIe Gen2) |
CSI Camera |
Up to 6 cameras (12 via virtual channels ,12 lanes MIPI CSI-2 ,D-PHY 1.2 (up to 30 Gbps) ,C-PHY 1.1 (up to 41Gbps) |
Video Encoder |
500MP/sec ,1x 4K @ 60 (HEVC) ,3x 4K @ 30 (HEVC) ,4x 1080p @ 60 (HEVC) |
Video Decoder |
1000 MP/sec ,2x 4K @ 60 (HEVC) ,7x 1080p @ 60 (HEVC) ,20x 1080p @ 30 (HEVC) |
Display |
2 multi-mode DP 1.2/eDP 1.4/HDMI 2.0 ,2 x4 DSI (1.5Gbps/lane) |
Networking |
10/100/1000 BASE-T Ethernet |
Mechanicals |
87 mm x 50 mm ,400-pin connector |
Voltage Input |
9V – 19.6V DC |
Module Power |
10W – 20W |
Applications |
AI ,Compute ,Multimedia ,and Graphics libraries and APIs |
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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