The Jetson TX2 is a new iteration of the Jetson Development Kit which doubles the computing power and power efficiency of the earlier Jetson TX1.
The Jetson TX1 Dev Kit introduced a new module format, where a standardized Tegra Module is plugged into a carrier board(载板). While the Jetson TX2 uses the same carrier board as the Jetson TX1, the actual Tegra TX2 Module itself is all new.
The carrier board, which is common between both the Jetson TX2 and the Jetson TX1, has the following I/O connectors:
There are two expansion headers(两个拓展头), a 40 pin, 2.54mm spaced header with signals laid out similarly to the Raspberry Pi, and a 30 pin, 2.54mm spaced header for extra GPIO.
The Jetson also includes a 5MP camera in the camera expansion header, and a display expansion header for adding extra display panels.
The Jetson TX2 has added a CAN bus controller to the module. CAN is a network format that is frequently used in automobiles and other vehicles. The CAN bus signals are available directly on the GPIO Expansion Header.
-预装ubuntu16.04,并提供JetPack 3.0
There are several changes to the Jetson TX2 software stack(软件栈). The Jetson TX2 runs a Developer Preview of an Ubuntu 16.04 variant named L4T 27.1. The Linux Kernel is 4.4, a newer version than the earlier Jetson TX1 version 3.10. There have been changes to the boot flow, with additional firmware managers added to the mix. The Jetson TX2 comes with a long list of software libraries, and a good selection of samples with source code.
The new JetPack 3.0 installer is available to flash and copy system software to the Jetson TX2.
NVIDIA claims that the Jetson TX2 is twice as fast as the Jetson TX1. After booting the machine, this surely seems the case. The entire experience feels very much like a desktop/laptop level machine. Doubling the memory (and the memory bus speed) surely helps with that feeling. Previous Jetsons experience quite a bit of memory pressure when running memory intensive, desktop applications like web browsers. The TX2 doesn’t even notice.
Running a handful of compiles and tests on applications like Caffe proved that the Jetson TX2 is indeed quite a bit faster than the earlier Jetson TX1 (see the video for one of the tests).
One of the fun samples that comes with the Jetson TX2 is an object recognition example which is demonstrated in the video. The deep learning sample uses Caffe along with ImageNet and uses the onboard camera to grab imagery.
Note that we haven’t performed any performance tuning for the demos, this is how it runs fresh out the box!
If you want some hardcore numbers, go over to Phoronix and check out NVIDIA Jetson TX2 Linux Benchmarks(推荐阅读6).
Stay tuned as we begin working with the TX2 to better understand how to take advantage of the extra performance. Find out more on the NVIDIA Developers site.#
Tegra是一种采用单片机系统设计片上系统(SoC, system-on-a-chip)芯片,它集成了ARM架构处理器和NVIDIA的Geforce GPU,并内置了其它功能,产品主要面向小型设备。和Intel以PC为起点的x86架构相比,ARM架构的Tegra更像是以手机处理器为起点做出的发展。
注意:它不能运行x86 PC上的Windows XP等操作系统,但在手机上应用多年的ARM架构轻量级操作系统更能适应它高速低功耗的需求。
Denver 2 (Dual-Core) CPU cluster
ARM Cortex-A57 QuadCore
Low Power Double Data Rate 4
LPDDR可以说是全球范围内最广泛使用于移动设备的“工作记忆”内存。全新的20nm 8Gb LPDDR4内存,在性能和集成度上都比20纳米级4Gb LPDDR3内存提高一倍。 [1]
LPDDR4可提供32Gbps的带宽,为DDR3 RAM的2倍。当前,Galaxy S5、Note 4和Nexus6均采用DDR3标准。更快速的RAM意味着应用的启动速度更快,这对于在执行多任务时启动重量级应用至关重要。
由于I/O接口数据传输速度最高可达3200Mbps,是通常使用的DDR3 DRAM的两倍,新推出的8Gb LPDDR4内存可以支持超高清影像的拍摄和播放,并能持续拍摄2000万像素的高清照片。
与LPDDR3内存芯片相比,LPDDR4的运行电压降为1.1伏,堪称适用于大屏幕智能手机和平板电脑、高性能网络系统的最低功耗存储解决方案。以2GB内存封装为例,比起基于4Gb LPDDR3芯片的2GB内存封装,基于8Gb LPDDR4芯片的2GB内存封装因运行电压的降低和处理速度的提升,最大可节省40%的耗电量。同时,新产品的输入/输出信号传输采用三星独有的低电压摆幅终端逻辑(LVSTL, Low Voltage Swing Terminated Logic),不仅进一步降低了LPDDR4芯片的耗电量,并使芯片能在低电压下进行高频率运转,实现了电源使用效率的最优化。
这两个玩穿了的内容,就不再阐述了,我找了一篇CSDN,在文末的推荐阅读3里面,不懂的建议看看,总体来说就是两者的频率和兼容主板都是不同的。所以总之,DDR4 和 DDR3 内存是无法通用的,两者不兼容。不过目前市场有 DDR4 和 DDR3 内存都支持的 100 系列主板,这种非主流主板需求量比较小,不太建议。既然配了100、200系列的主板,就直接使用DDR4就行了。