{{NoteTA|G1=IT}}{{Infobox Company| company_name = VMware Inc.| company_logo = [[ruFile:Nvidia#JetsonVMwaren logo.svg|200px]]<br /><br />[[File:VMware HQ campus 3401 Hillview entrance.JPG|200px]]<br />VMware总部'''Nvidia Jetson''' is a series of embedded computing boards from | company_type = [[Nvidia上市公司]]. The Jetson TK1, TX1 and TX2 models all carry a | traded_as = {{NYSE|VMW}}<br>{{NYSE|DVMT}}| foundation = 1998年| location = {{flagicon|USA}} [[Tegra美国]] processor [[加州]][[帕罗奥多 (or SoC美国加州) from Nvidia that integrates an |帕罗奥多]]Hillview大道3401号| zip_code = 94304| telephone_no = +1 877-486-9273<br />+1 650-427-5000| key_people = [[ARM architecture总裁]] 兼[[central processing unitCEO]] ：Pat Gelsinger| revenue = {{Increase}} US 60.35亿(CPU2014年)|operatingincome=DecreaseUS60. Jetson is a low-power system and is designed for accelerating machine learning applications35亿(2014年)|operatingincome=DecreaseUS 10.27 亿 (2014年)| net_income = {{Decrease}} US 0.86亿(2014年)|assets=DecreaseUS0.86亿(2014年)|assets=DecreaseUS 152.16 亿 (2014年)| equity = {{Increase}} US$75.86 亿 (2014年)| num_employees = 18,000 (2014年12月31日)<ref>"[{{cite web|title=Form 10-K, Annual Report for Fiscal Year ended December 31, 2014|url=http://files.shareholder.com/ downloads/VMW/3974806130x0xS1124610-15-5/1124610/filing.pdf|publisher=VMware.com|access-date=2015-10-17|archive-url=https://wwwweb.researchgatearchive.netorg/publicationweb/329802520_A_Survey_on_Evaluating_and_Optimizing_Neural_Network_Applications_on_NVIDIA's_Jetson_Platform A Survey on Evaluating and Optimizing Neural Network Applications on NVIDIA's Jetson Platform]", 201820160303232522/ http://files.shareholder.com/downloads/VMW/3974806130x0xS1124610-15-5/1124610/filing.pdf|archive-date=2016-03-03|dead-url=yes}}</ref>| parent = [[Dell EMC|戴尔科技]]| industry = [[虚拟化]]、[[云计算]]| products = VMware Workstation<br /> VMware Fusion<br /> VMware Player <br /> VMware Server<br /> VMware vSphere<br />VMware ACE <br />VMware Lab Manager <br />VMware Converter <br />VMware ThinApp| homepage = [http://www.vmware.com/ www.vmware.com]}}
'''威睿'''（{{lang-en|'''VMware, Inc.'''}}）是[[戴尔科技]]旗下一家[[电脑软件|软件]][[公司]] ，它提供[[云计算]]和[[硬件虚拟化]]的软件和服务<ref>{{cite web |url=http://www.hostreview.com/icontent/the-blog/vmware-leader -virtualization-market |title=HardwareVMware leader in virtualization market}}</ref><ref>{{cite news|url=http://www.nytimes.com/2009/08/31/technology/business-computing/ 31virtual.html?pagewanted=2&_r=2&partner=rss&emc=rss |title=VMware market share more than 80% | work=The New York Times. | first=Steve | last=Lohr | date=2009-08-31 | accessdate= 2010-05-27}}</ref><ref>{{cite web|url=http://searchservervirtualization.techtarget.com/news/article/0,289142,sid94_gci1369150,00.html |title=VMware, Hyper -V virtualization leave others in the dust}}</ref>，并号称是第一个商业化的成功的虚拟化的[[x86]]架构<ref name="VMware_paravirtualization.pdf">{{cite web| url=http://www.vmware.com/files/pdf/VMware_paravirtualization.pdf |title=Unders tanding full virtualization, paravirtualization, and hardware assist |date=2007-10-15 |accessdate=2014-12-11 |deadurl=yes |archiveurl=https://web.archive.org/web/20080511171622/http:// www.vmware.com/files/pdf/VMware_paravirtualization.pdf |archivedate=2008-05-11 }}</ref>。公司成立于1998年，VMware的总部设在[[加利福尼亚州]][[帕洛阿尔托]]。
The Jetson family includes the following boards: * In late April 2014, Nvidia shipped the Nvidia Jetson '''TK1''' development board containing a Tegra K1 SoC in the T124 variant and running [[Ubuntu (operating system)|Ubuntu Linux]].<ref>{{cite web | url=https://www.phoronix.com/scan.php?page=news_item&px历史 =MTY3NjA | title=NVIDIA's Tegra TK1 Jetson Board Is Now Shipping | date=29 April 2014 | author=Michael Larabel | publisher=[[Phoronix]]}}</ref>* The Nvidia Jetson '''TX1''' development board bears a Tegra X1 of model T210.1998年，黛安·格林、孟德尔·罗森布拉姆、斯科特·迪瓦恩、王艾伦和爱德华•比尼翁创立了VMware。格林和罗森布拉姆在加州大学伯克利分校首次见面。 <ref>{{cite webnews|url=http://wwwmoney.nvidiacnn.com/objectmagazines/embedded-systemsfortune/fortune_archive/2007/10/15/100536853/index.html htm|titlelast=Embedded Systems Development Solutions from NVIDIA Jetson Lashinksky|publisherfirst=NVIDIA Adam|date=20152007-0310-18 02|accessdatetitle=2016-07-10}}</ref>* The Nvidia Jetson '''TX2''' board bears a Tegra X2 of microarchitecture GP10B<ref>[http://www.phoronix.com/scan.php?page=news_item50 Most Powerful Women in Business&pxnbsp;— Full speed ahead|publisher=CNN | quote =Tegra-X2-Nouveau-Support NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau] by Michael Larabel at phoronix.com on March 29, 2017</ref> (SoC type T186 or very similar). This board and the associated development platform was announced in March 2017 as 1988 she picked up a compact card design for low power scenarios, e.g. for the use in smaller camera drones. A matrix describing a set of performance modes was provided by the media along with that.<ref>[http://www.anandtech.com/show/11185/nvidia-announces-jetson-tx2-parker NVIDIA Announces Jetson TX2: Parker Comes To NVIDIA’s Embedded System Kit], March 7, 2017</ref> Further a TX2i variant, said to be rugged and suiteable for industrial use cases, is mentioned.<ref>[https://devtalk.nvidia.com/default/topic/1030837/jetson-tx2/nvidia-jetson-tx2i-module-for-industrial-environments/ NVIDIA Jetson TX2i Module for Industrial Environments]</ref>* The Nvidia Jetson second master'''[[Tegra#Xavier|Xavier]]''' got announced as a development kit in end of August 2018 with a fulfillment promise of "early September".<ref>[https://developer.nvidia.com/embedded/buy/jetson-xavier-devkit NVIDIA Jetson Xavier Developer Kit]</ref> With the announce came a product image and some technical specifications. Indications were given that a 20x acceleration for certain application cases compared to predecessor devices should be expecteds, and that the application power efficiency is 10x improved.* The Nvidia '''Nano''' was announced as a development system in mid-March 2019computer science, with at the a Development Kit available for pre-order University of California at announcement and promise of wide availability in "June 2019".<ref>[https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano The Power of Modern AI to Millions of Devices | NVIDIA Jetson Nano]Berkeley, where she met Rosenblum } }</ref>. The focus of the discussion around this product was for hobbyist robotics due to the low price point.爱德华•比尼翁担任VMware的首席架构师和CTO，直至2005年前去为Nuova系统服务（现在思科的一部分）。 <ref>{{cite web |title=NVIDIA Announces $99 Jetson Nano: Affordable CUDA |url=httpshttp://www.eteknixinfoworld.com/nvidia-jetson-nano-99-of-cuda-x-awesomenessarticle/}}<04/ref><ref>[https:01/23/hackaday04FEctoedouard_1.com/2019/03/18/hands-on-new-nvidia-jetson-nano-is-more-power-in-a-smaller-form-factor Hands-On: New Nvidia Jetson Nano is More Power In A Smaller Form Factor html?s=feature| Hackaday]</ref> The final specs expose the board beeing sort of a power optimized, stripped down version of what a full [[Tegra#Tegra X1|Tegra X1]] system would mean. Comparing in more detail only half of the CPU (only 4x A57 @ 1.43 GHz) and GPU (128 cores of Maxwell generation @ 921 MHz) cores are present and only half of the maximum possible RAM is attached (4 GB LPDDR4 @ 64 bit + 1.6 GHz title= 25.6 GB/s) whilst the available or usable interfacing is determined by the baseboard design and is further subject of implementation decisions and specifics Edouard Bugnion lives in an end user specific design for an application case.<ref>[https://www.cnx-software.com/2019/03/19/nvidia-jetson-nano-developer-kit/ NVIDIA Introduces $99 Jetson Nano Developer Kit] by Jean-Luc Aufranc on March 19, 2019 on CNXSoft</ref> The published performance modes of the Nvidia Jetson TX2 are:{| class="wikitable" virtual world|access-! Mode! Max Clocks (Denver2 + A57)! Max-P (Denver2 + A57)! Max-P (only Denver2)! Max-P (only A57)! Max-Q (only A57)|-| GPU Clock / MHz| 1302| colspan date= "3" | 1122| 854|2016-| Denver2 Clock / MHz| 2000| 1400| 2000| stopped| stopped|10-| Cortex-A57 / MHz| 2000+| 1400| stopped| 2000| 1200|-| TDP / W| might vary| 15| 15| 15| 7.5|} The published operation modes of the Nvidia Jetson Nano are:{| class="wikitable" |archive-! Mode! 0! 1|-| GPU Clock / MHz| 921| 640|-| Cortex-A57 / MHz| 4x 1428| 2x 918<br>2x stopped|-| TDP / W| 10| 5|} url==Software==Various operating systems and software might be able to run on the Jetson board series. ===Linux===JetPack is a [[Software Development Kit]] (SDK) from Nvidia for their Jetson board series. The official Nvidia download page bears an entry for JetPack 3.2 (uploaded there on 2018-03-08) that states::''JetPack 3.2 adds support for the [[Linux for Tegra]] r28.2 image for the Jetson OS. It is packaged with newer versions of Tegra System Profiler, [[TensorRT]], and [[cuDNN]] from the last release.''<ref>https://developerweb.nvidiaarchive.comorg/embeddedweb/downloads<20090108203917/ref> ===QNX===Even if [[QNX]] is not widely announced for the Jetson platform still there are success reports of installing and running specific QNX packages on certain Nvidia Jetson board variants. Namely the package ''qnx-V3Q-23.16.01'' that is seemingly in parts based on Nvidia's [[Vibrante]] Linux distribution is reported to run on the Jetson TK1 Pro board.<ref>httpshttp://devtalkwww.nvidiainfoworld.com/defaultarticle/topic04/94011601/running-qnx-onto-jetson-tk1-pro-1860-23/</ref> ===See also===* [[Raspberry Pi]]* [https://en04FEctoedouard_1.wikipedia.org/wiki/Movidius#Neural_Compute_Stick Movidius neural compute stick] html?s=feature| archive-date=References== {{reflist}} {{Linux devices}}{{Nvidia}}{{Single2009-board computer}}[[Category:ARM architecture]][[Category:Linux01-based devices]][[Category:Nvidia products]][[Category:Single08| dead-board computers]] {{computer-stuburl=yes}}</ref>