戴尔蒙德科技有限公司做什么的

戴尔科技是一家全球知名的科技公司，其供应链管理的优势主要包括以下几个方面，一、高效的供应链流程戴尔科技采用了先进的供应链管理技术和流程，如订单管理、库存管理、物流配送等，从而实现了高效的供应链运作。二、 全球化的供应链布局戴尔科技在全球范围内建立了多个生产基地和物流中心，从而实现了全球化的供应链布局，提高了供应链的灵活性和响应能力。三、 强大的供应商管理能力戴尔科技与全球范围内的供应商建立了长期的合作关系，并通过严格的供应商评估和管理流程，确保了供应商的质量和可靠性。四、创新的供应链技术戴尔科技不断创新供应链技术， 采用自动化、智能化的物流设备和系统，从而提高了供应链的效率和准确性。五、 客户导向的供应链策略戴尔科技以客户为中心，采用了客户导向的供应链策略，如提供个性化的产品定制和快速的交付服务，从而提高了客户满意度和忠诚度。总之，戴尔科技的供应链管理优势在于其高效的供应链流程、 全球化的供应链布局、强大的供应商管理能力、创新的供应链技术和客户导向的供应链策略。这些优势使得戴尔科技能够在全球范围内提供高质量的产品和服务，满足客户的需求。

戴尔是我们家喻户晓的电脑品牌，也是计算机顶级品牌之一。不过今天我们不讨论戴尔电脑的质量与性能，这个品牌背后的创新商业模式更有意思。戴尔在童年时期就对计算机展现出了很大兴趣，小小年纪就会修电脑。 除此之外，他还展现出了很高的经商天赋，高中时期，他做卖报纸的暑期工，一个夏天就赚了一万八千美元。 一九八三年，顺从父母的心愿，戴尔进入医学育科学校学习。不过喜爱电脑的他还是会在业余时间摆弄电脑，还在自己宿舍里做起了电脑生意。 随着他的宿舍生意发展的越来越红火，他决定退学，一心一意创业。一九八四年，他注册了自己的公司 pcs limited。 这是问题来了，消费者都喜欢去代理 商那里买电脑，代理商会把价格提高两三成，顾客多付了钱，生产商也没多收到钱，差价都被中间商给赚了。戴尔不想让中间商赚差价，他决定向消费者直销，这样做虽然一开始没什么销售渠道，但是有了巨大的价格优势。 于是他在电脑杂志上给自己的品牌打起了广告，还提供电脑定制组装服务。他这个创新想法很有成效，公司运营的第一年营业额就超过了六百万美元，在之后的八十年代后期，更是乘着电脑行业发展的热潮，一路高歌猛进。 一九八七年，戴尔将公司名称正式改为和自己同名的戴尔电脑公司，此后一年内，公司的销售额就达到了一点六亿美元。此时除了直接卖给个人客户以外，戴尔也终于有了扩大客户群的资源。 在此之前，人们一直认为他的直销模式不适合企业客户。为了解决这个问题，戴尔除了组装定制电脑之外，开始给电脑女装办公软件。举个例子，现在有一家石油公司正准备采购一批办公电脑， 如果他选择戴尔公司，那么戴尔不仅会为他们生产配置合适的电脑，还会在系统中加入跟踪全国加油站销售网的软件。 通过这些创新改变，戴尔的生意一天比一天好。之后互联网的出现更是开启了戴尔的全球崛起之路。一九九六年七月，戴尔推出了他的直销网站，吸引无数客户。 虽然在今天看来司空见惯，但这在当时是一个划时代的创新举动，人们在网上就可以自己购买电脑，不用再打电话订购。于是在网站上线的两个月内，日均销售额 就超过了两百万美元。到一九九八年的时候，这个数字上升到五百万美元。从那时起，戴尔就一直稳定在电脑制造商的前三名，直到今天。感谢您的观看。

hi， jensen， thanks for joining me today i really appreciate the time you've taken out of your busy schedule to sit down with me and talk about one if not one of the most disruptive technologies that we've seen in our four decades think about that four decades together generative ai pretty amazing stuff isn't it generative ai is a very very big deal finally for the very first time really since we've been talking about artificial intelligence every company will be able to put ai to use to revolutionize their products and their company so i'm very excited about it given what you and i do for a living it has a chance to revolutionize the way we're going to innovate going forward you and i've we've seen the pc revolution the internet， cloud and mobile but generative ais is a much much bigger deal for several reasons it's almost three things in one really the application is just miraculous it's easy to use and it does amazing things as as we've all experienced and the second thing is that as an api because it's able to understand almost any language and any form of input you can connect it to just about anything the third thing it does is that it's a whole new computing platform in the sense that it has a universal programming language called human and is incredibly flexible with these emergent capabilities that it's able to perform tasks either without training or with a little bit of flight tuning i think about our latest generation of 16g servers that we purpose built for this ai world with a range of offers that meets these needs all powered by nvidia gpus enterprises are working to deploy these models and workloads on prim to make full use of their data if you think about how do they drive better insight better outcomes for their business looking at i need my context of my business with this data with these models and tools to really drive faster insights to my business i soon you're seeing the same thing yeah they have to do it on prim because that's where their data is they have to do it close to the edge because that's um you know closest to the speed of lighten and you wanted to respond since instantaneously you also wanted to be at the edge because in in the future， you want to have information from multiple modalities the more contextual information we get the better grounded the better inference that we can make and so the ability to make those decisions as close to the edge as possible where the action is where all of the data is and where the responsive responsiveness could be as high as possible is really essential good and agree more i think it's spot on and i think as customers work to deploy these models and these workloads locally on prim they're gonna face a new series of challenges whether that be issues around how to secure the data how to make sure the data keeps its integrity so it drives hive value results are going to have to figure out in the world that we live and around privacy and the regulations around the use of their data this is the essence of all companies domain expertise and proprietary data and nobody could could upload that into the cloud nobody could discover that on the internet it is your domain is your domain assets we've been such great partners i think about the work we announce not too long ago with vmware around virtualized gpus for the ai environment new and michael set down in january launched our new generation our 16th generation of poweredge servers most recently we just launched our poweredge xc 9680 with our eight way h100s from you it is incredible and on top of that jeff we have stable the art ai foundation models that enables all the enterprises to be able to build their own custom models so between the two of our companies we have the infrastructure the compute nodes the networking the computing fabric the ai operating system the large language models that customers can use to adapt to their own domain and adapt to their own data and teach it to operating in the domains that they care about the part that i'm really excited about is we reinvent it in a price computing together what the last wave was about was data centers for file storage and managing all of the employees information the next wave is really about harnessing our domain main expertise harnessing our proprietary data and transforming it into intelligence the next generation is probably not going to be called data centers you should probably call it ai factories and all of our companies are built on intelligence we're doing something really really important together it could agree more and it kind of takes us why we're here today why are we doing this video it was great straight man we're here to announce a new collaboration between our two companies what we call between us project helix this is a full stack solution that enables enterprises to create and run custom ai models built with their knowledge on their business， our powerful infrastructure and software， nvidia's accelerators， ai software and expertise this is unmatch second to none in the industry yeah jeff worked on a whole lot of stuff together over the years over the last 30 years we built a lot of things nothing is nearly this amazing nearly this impactful every company is at its core about intelligence and for the very first time together project helix the work that our two companies are collaborating and working so hard on will help every company be an ai factory and be able to produce their intelligence， their domain specific intelligence， their expertise and then do it at light speed and do it at scale and so i'm super excited about work together the new data centers ai factories i love it jensen thank you so much you're the best i'm really excited about what we're doing with project helix but equally important it may be even more important important is where we can go together with this it's an exciting domain we've just scratched the surface there's so much more we could do together again thank you for our nearly three decade partnership it's been great and i always love geeking out with you you're the best thanks again thanks chef。