NVIDIA Embedded Platform
NVIDIA Embedded Platform

NVIDIA Embedded Platform

Nvidia already successfully built the gold standard for AI at the edge with release of its Jetson AGX Xavier/TX2i/TX2/TX1 modules. The newest Jetson AGX Xavier is the most leading Artificial Intelligence (AI) computing platform with high-performance, low-power consumption for deep learning, computer vision and compute-intensive applications in embedded fields.
 
AGX Xavier keeps the advantage of small form factor. In the same time, it increases more than 20X the performance and 10X the energy efficiency of its predecessor, Jetson TX2. Wide temperature -25°C to 80°C and ECC memory support is also the standard function. The Jetson AGX Xavier's unprecedented processing power, incredible energy efficiency, which is under 30W, and easily embeddable form factor(105mm x 105mm) are revolutionizing the AIoT application.
 
Aetina offers platforms that combine Jetson with our well-fatured reference carrier boards, or with carriers purpose-built for customers' individual needs. They are all supported by full SDK, including latest APIs, tool kits and libraries. We know different embedded applications have different OS requirements. So, Aetina provides software and OS integration service, the custom operating system built based on Linux kernel to sustain the individuality, reliability and security of the applications.
 
We also provide Extension Hardware Peripherals Integration Service, by preloading the relative API and driver of multiple Video-Image-Detection(VID) module, from our AIoT eco-system partners, and embedded peripheral I/O modules, from industrial-leading brand, Innodisk®, assisting developers flexibly to expand the systems, meanwhile help to start their deployment easier and faster.


Nvidia Jetson Module Comparision

  Jetson Nano Jetson TX2 Series Jetson AGX Xavier Series
TX2 4GB TX2 TX2i Jetson AGX Xavier 8GB Jetson AGX Xavier
GPU Nvidia Maxwell
with 128 CUDA cores
Nvidia Pascal
with 256 CUDA cores
Nvidia Volta
with 384 CUDA cores
& 48 Tensor cores
Nvidia Volta
with 512 CUDA cores
& 64 Tensor cores
0.5 TFLOPs (FP16) 1.3 TFLOPS (FP16) 5.5 TFLOPS (FP16)
11.1 TOPS (INT8)
11 TFLOPS (FP16)
22 TOPS (INT8)
CPU Quad-core ARM Cortex
A57 MPCore processor
Dual-core Denver 2 64-bit CPU
quad-core ARM A57 complex
6-core ARM v8.2 64-bit CPU
8MB L2 + 4MB L3
8-core ARM v8.2 64-bit CPU
8MB L2 + 4MB L3
DLA - - 4.1 TFLOPS (FP16)
8.2 TOPS (INT8)
5 TFLOPS (FP16)
10 TOPS (INT8)
Memory 4GB 64-bit LPDDR4 4GB 128-bit LPDDR4 8GB 128-bit LPDDR4 8GB 256-bit LPDDR4x 16GB 256-bit LPDDR4x
Storage 16GB eMMC 5.1 16GB eMMC 5.1 32GB eMMC 5.1 32GB eMMC 5.1
Camera 12 lanes MIPI CSI-II
DPHY 1.1 (1.5 Gbps)
12 lanes MIPI CSI-II
D-PHY 1.2 (30 Gbps)
16 lanes MIPI CSI-II
D-PHY (40 Gbps)
16 lanes MIPI CSI-II
D-PHY (40 Gbps)
Power 5W | 10W 7.5W | 15W 10W | 20W 10W | 20W 10W | 15W | 30W
Connectivity Wi-Fi
(external chip)
Wi-Fi
(external chip)
Wi-Fi
(onboard)
Wi-Fi
(external chip)
Wi-Fi
(external chip)
10/100/1000
BASE-T Ethernet
10/100/1000
BASE-T Ethernet
10/100/1000
RGMII Gigabit Ethernet
Mechanical 69.6 mm x 45 mm
260-pin edge connector
87 mm x 50 mm
400-pin connector
100 mm x 87 mm
699-pin connector
Carrier
Board
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