跟讀練習: Envicool Full Chain Liquid Cooling 2GW+ Deployment Case Study presented by Envicool - 通過影片學習英語口語
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My name is Lin Niu.
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I'm the Product Manager for Liquid Cooling Solutions from NVQO.
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Yeah, thank you.
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Today I want to talk about our experiences in liquid cooling solutions for the past 20 years.
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And so nice to have you all here.
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And we are all here because we all know that the way we cool down the infrastructure is changing.
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The question is, how do we get there together?
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So for the following 20 minutes, I will introduce who we are, what we provide, and the ideas behind our work.
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Let's first have a very brief introduction of our company,
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in case some of you may not that familiar with us we are established in 2005 so making 20 years
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in this industry for liquid cooling
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and after 20 years developments we have been a team of over 2 000
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or 5 000 employees globally and from the very beginning of our very first liquid cooling products delivered in 2015,
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we have already delivered over two gigawatts liquid cooling solutions.
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So today I want to discuss with more about liquid cooling solutions with you, with our customers, with our partners.
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Our headquarters and main R &D centers is based in China and to maintain our competitive edge,
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we also have our U .S.
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R &D center in USA.
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It's about 20 minutes drive from here.
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And more critically, our manufacturing -based strategy is to distribute it globally.
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We have our facilities in Thailand, we have facilities in USA,
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and we also have our manufacturing bases in multiple locations in China.
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And this ensures the supply chain resiliency and it can help us to meet critical and aggressive market timeline.
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And about the service network, we have built a complete service network to ensure that wherever our customers are,
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they can easily get in touch with us to get all the supports from technical to service.
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Since 2021, we have seen a surge in customers asking about liquid cooling solutions.
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At that time, most of the rack density are from 20 to 40 kilowatts.
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And the concern of our customers are how much energy they can save if they use this liquid cooling solution.
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And what is the comparison between the air cooling and the liquid cooling?
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About the K -PACs, about the O -PACs.
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But things changed when last year NVIDIA released their NBL 72 rack.
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120 kilowatts per rack make the air cooling no longer available.
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The liquid cooling solution is not just an option solution is the only solution to that high density rack.
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And based on the explosive growth of the AI, it can be tell, it can clearly be tell that in the future,
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one megawatt per rack will be the future.
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And it's in near future, maybe in 2024, 27.
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So what will be the solution for this high -density rack.
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And from the heat transfer theory, we know that if we want to meet high cooling capacity,
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high cooling requirements, we have three main theories.
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The first is about the new coolant type.
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And the second is to increase the heat transfer area.
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And the third is about high flow rates.
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But there are some questions.
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First, for the new coolant type, we can talk about nanofruit, we can talk about refrigerants used in some two -phase cooling systems.
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We need to do a long -term compatibility test to use it before we implement it in a real data center.
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Because those liquid cooling servers, that service they they provide, they support is very critical.
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The second is about the surface, is about the area of the heat transfer surface.
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When we're talking about the new structural design of the heat sink, about the cold place, we need to think about the coast.
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That's one part.
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And the second is about the production feasibility.
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Some of the structure is very hard to make it in real world.
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So that's the second.
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And for the high flow rate, a high flow rate will of course cause a very high pressure job.
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It will cause more space used in these data centers.
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So how to make this happen?
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The last is about the AI training, that it's very different to traditional general servers' works.
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Like in different stages of AI training, the GPU load is different.
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So how do our cooling systems can respond to this constantly or frequently vary those.
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That's our question.
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So the deeper we dive into this system, the more questions we find.
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All these considerations are the foundation of the work and the projects that we are working on.
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In China, we have built a joint lab with some of our customers to do some fundamental research.
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And for the component level,
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we have to do our new code plate design performance and the optimization of the structural study.
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And we also do the leak test of the QD when they are operated under some offsets.
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And we also do the research of the manifold uniform distribution and the coolant, the long -term lifetime property.
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And for the system level, we also built our long -term operations test setup to do the test like
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if the flow rate is over 1 .5 meter per second, what will happen?
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What influence it will have on the whole system and the performance of the code plates and the strength of the filter?
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What will be the influence? and for the coolant parts,
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what is the lifetime model of the coolant?
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Because we need to replace the coolant frequently now with like pitch 25 or other kinds of the coolant.
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So how can we make it last longer?
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That's also one of our topic.
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And also we will do some CDU control logic test.
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As we just discussed, the loads of AI training will vary frequently.
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So how can our cooling system respond to it and make a stable flow rate and a stable temperature supply?
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Those are all the topics and projects we are working on.
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And the goal of our company is very simple.
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We want to support reliable, we want to support sustainable solutions to our customers.
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We want to discuss more with our customers, with our partners, to discuss about their requirements,
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to know more about the problem they are facing, and to provide more reliable products and solutions to them.
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And in U .S., we are also building a test platform in our office.
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This platform is composed of four parts.
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The first is the liquid -to -liquid -CDU loop.
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The second is the sidecar solution, and the in -rack solution, and also the fan wall air cooling solutions.
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With this Mooc data center,
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it can give a very clear understanding to our customers who visit it to know what is the liquid cooling solution,
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what is the direct -to -chip liquid cooling solution, and what is the valve configuration,
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and maybe all the operation procedures that will happen in a real data center.
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And that is one of the main features of this platform.
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And the second is about the testing and the research.
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We will use this platform to do some fundamental research.
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Like for the CDU, we will do the thermal test, we will do the control logic test,
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the function test, and also maybe the whole cooling system validation test.
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And we will also use this platform to do some long -term operation.
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So let's look what we have for this industry.
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We want to provide reliable solutions for our customers.
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So we raised the concept of full -chain nuclear cooling.
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We defined the full chain with three strategic pillars.
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full ecosystem integration, full application scenario, and also the full lifecycle management.
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So first is about full ecosystem integration.
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We will collaborate with customers across the entire industry from the
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chief provider to several manufacturers all the way to the end users.
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Like we will discuss about their requirements.
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We will develop these products with them from the rack level, like code place, like QD and manifolds,
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and all the way to the facility level, like the CDU, different types of the CDU, the code source, the coolant,
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the secondary pipes, and even the control system.
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And with this approach, it can also help us to have a better understanding of the entire system system.
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And that is very critical for the reliability,
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because only in that way we can make all the components work together seamlessly.
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And the second level is full application scenarios.
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We have expanded our products line away from the liquid cooling loop itself.
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We developed the products based on all related application scenarios.
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Like for the production line, we have our whole series of the products for all the critical tasks
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that may happen in a liquid cooling server production line.
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Like in the production line of liquid cooling server, they need to do the failing, draining, leak tests, and the flushing,
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and maybe in the last part, the nitrogen injection and the drying.
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We have a whole series of the products for that.
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And the second is the lab test application scenario.
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Some of our server manufacturer customers need to do thermal tests, need to do the flow tests to their liquid cooling server demo.
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So we will, based on their requirements, to develop those specific equipments for the test.
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And the last is for operation in a real data center.
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For the data center operation and maintenance, for the data center commissioning, we have our load banks and the emulators for the cooling system validation.
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And the last level is the full lifecycle management.
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Reliability is not only about the components, it's about the whole lifecycle management.
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So we will design all the products that we share in last pages all the designs are done by ourselves,
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and all the production and manufacturing are in our own factories.
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And for the installation and maintenance,
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we also have our own teams to do all these works to minimize the complexity for our customers.
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So that's the three -fold.
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We call it a three -fold.
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We call it a full -chain nuclear cooling solution.
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In the following parts I will give some detailed introduction
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Of our products
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First is the CDU CDU is the core components
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For this direct -to -chip liquid cooling
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So we provide in -road CDU We provide in -react CDU Also both we have
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Liquid -to -liquid type
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And liquid -to -air type
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For our liquid in -road CDU Based on our This year's project experiences
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we have already delivered multiple models from 300 kilowatts all the way to 2 .5 megawatts.
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And especially for our 2 .5 megawatts CDU, its cooling capacity is based on 4 -degree Celsius ATD,
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and it has a wide flow rate range from 1 % to 100 % with very stable temperature and flow rate support.
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And the second is about our sidecar, it's also the in -row liquid -to -air CDU.
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Our current model can support 100 kilowatts under 15 degrees Celsius ATD, and we also have N plus 1 pumps,
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N plus 1 the power module, and N plus 1 the vents to support concurrent maintenance.
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And in this Q4, we will have our 240 kilowatt sidecar.
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It's about two rack wide.
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Please, you can check our social media.
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We will release in Q4.
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And then it's about our INRAC CDU.
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We have our INRAC Liquid2Air and Liquid2LiquidCDU.
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For our Liquid2AirCDU, this is mainly used in some lab test scenarios.
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Now our standard model is 20 kilowatts, but of course we can customize based on customer's requirements.
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And for our URAC liquid to liquid CDU,
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the most powerful unit that we have now is 160 kV under 4 degree Celsius ATD.
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And it also has N plus 1 POM redundancy, and it can be compatible for all our WRAC.
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So for the manifold and QD, now the most commonly used QD in this industry now is UQD series series,
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and also now we have MQD series.
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Of course, we have our own design for the QDs, like low flow resistance QD and other types of QD.
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If you have interest, you can come to our booth to have a visit.
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And for our manifold, manifold is a high customized product.
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Now, the largest manifold that we have provided is about 800 LPM per rack.
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The secondary pipe is also a highlight product that we provide.
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For the secondary pipes, because this liquid cooling system requires very high cleanliness, so all these pipes are manufactured in modular
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and they are prefabricated in our own factories and shipped to the project site to do the installation.
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And we have modular pipes.
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And in order to decrease the requirements for the manpower and the lead time,
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we also provide this framed piping.
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It integrates the pipes into the supports, and all the integration will be happening in our own factories.
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You only need to do some tiny connections on site.
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It will decrease about 50 to 70 % of the time
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that it requires to do the installation of the whole secondary loop.
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This is our load bank.
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And our load bank is also a modular requirement.
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For our load bank, we provide this for you 20 kilowatts liquid cooling load bank.
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It can be integrated in one rack,
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multiple this modular liquid cooling load bank can be integrated in one rack to reach about 240 kilowatts per rack.
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And we are also looking for a more higher density of
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this liquid cooling load bank for the test of our future rack, like one megawatts or even higher.
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So the last part is about our products for the production line.
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We have discussed with our server manufacturing customers about the typical process during their production of the server.
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Typically, including the leak test, flushing, draining, fading, burning test,
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and also last part is the draining and nitrogen injection.
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We want to introduce our concept of automation to our customers.
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So there is a video introduce this concept.
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We'll be right back.
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Thank you.
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Thank you.
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Thank you.
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Thank you.
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Thank you.
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Oh, So thank you.
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So that's our production testing line for the liquid cooling servers.
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And I will also introduce some of the details of the parameters of the products
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that you have seen in this testing line.
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So, this one, we call it automatic test tools.
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So, in this unit, we have integrated all the tasks that it requires,
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like all the filling and the drying nitrogen injection to this equipment.
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But for customers who will require that all the function parts need to be separated,
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we also have our separated products for those parts like this is the automatic failing tools.
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And so we are all the explorers in this AI era and we are all the explorers in this liquid cooling era.
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We want to have more collaborations with our customers and with our partners to make innovation.
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So I warmly welcome you to our booth at B14 to have a more detailed view of our products.
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Thank you.
FOR YOU
推薦影片
本課的詞彙與口語要點
這節口語課以影片“Envicool Full Chain Liquid Cooling 2GW+ Deployment Case Study presented by Envicool”為素材。 影片中反覆出現的詞有:cooling, liquid, test, solution, customers。 這段影片共有 206 個句子、2480 個單詞可供跟讀。 講話部分時長為 23:22。 說話人語速較慢,每分鐘約 106 個詞,你有足夠的時間模仿每一個音。 83% 的單詞屬於英語最常用的 3,000 詞,其餘的詞建議在練習前先學一下。
影片中的重點詞彙
影片中 15 個值得學習的單詞,附發音和釋義:
| 單詞 | 發音 | 釋義 |
|---|---|---|
| liquid 名詞 | /ˈlɪk.wɪd/ | 液體 /液體, 液態 /液態 |
| rack 名詞 | /ɹæk/ | 架子 |
| server 名詞 | /ˈsɝvɚ/ | 伺服器 /伺服器, 伺服器 |
| requirement 名詞 | /ɹɪˈkwaɪɹmənt/ | 要求, 需求 |
| pipe 名詞 | /ˈpaɪp/ | 笛子, 管子 |
| scenario 名詞 | /sɪˈnɛəɹioʊ/ | 指令碼 /指令碼, 場景 /場景 |
| introduce 動詞 | /ˌɪntɹəˈdus/ | 介紹 /介紹, 紹介 /紹介 |
| density 名詞 | /ˈdɛn.sə.ti/ | 密度 |
| component 名詞 | /kəmˈpoʊ.nənt/ | 元件, 部件 |
| stable 名詞 | /ˈsteɪ.bəl/ | 馬廄, 馬棚 /馬棚 |
| loop 名詞 | /luːp/ | 圈, 環 /環 |
| reliable 形容詞 | /ɹɪˈlaɪəbl̩/ | 可靠, 穩妥 /穩妥 |
| integration 名詞 | /ˌɪn.tɪˈɡɹeɪ.ʃən/ | 融合, 統合 /統合 |
| installation 名詞 | /ˌɪn.stəˈleɪ.ʃən/ | 安裝 /安裝 |
| leak 名詞 | /liːk/ | 漏洞 |
影片中出現的短語動詞
| 單詞 | 發音 | 釋義 |
|---|---|---|
| cool down 動詞 | /kuːl ˈdaʊn/ | 冷卻 /冷卻 |
影片中的語法
說話人最常用的結構,並附上影片中的原話:
| 結構 | 影片中的用法 |
|---|---|
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | have been · have already delivered · have built |
| 被動語態 be + 過去分詞 — 強調發生了什麼,而不是誰做的 | are established · is based · are operated |
需要注意的發音
說話人用了 3 次縮略和弱讀形式,例如 I'm, we'll, we're。請按聽到的簡短形式來說。
- “th” 音: booth /buθ/, thermal /ˈθɜːməl/
- “sh” 和 “zh” 音: integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, installation /ˌɪn.stəˈleɪ.ʃən/, injection /ɪnˈd͡ʒɛk.ʃən/, structural /ˈstɹʌk(t͡)ʃəɹəl/, flush /ˈflʌʃ/
- 長單詞——注意重音位置: integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, installation /ˌɪn.stəˈleɪ.ʃən/, automatic /ˌɔː.təˈmæt.ɪk/, fundamental /ˌfʌn.dəˈmɛn.təl/, manufacturer /ˌmænjʊˈfæktʃəɹə/
中文母語者容易讀錯的音:
- /v/ — 不要讀成 /w/,上齒輕觸下唇: server /ˈsɝvɚ/, vary /ˈvɛəɹi/, validation /ˌvæl.əˈdeɪ.ʃən/, aggressive /əˈɡɹɛs.ɪv/, innovation /ˌɪn.əˈveɪ.ʃən/
- 詞尾子音 — 要讀清楚,後面不要加母音: liquid /ˈlɪk.wɪd/, rack /ɹæk/, requirement /ɹɪˈkwaɪɹmənt/, pipe /ˈpaɪp/, introduce /ˌɪntɹəˈdus/
- /r/ 和 /l/ 的區別: reliable /ɹɪˈlaɪəbl̩/, structural /ˈstɹʌk(t͡)ʃəɹəl/, explorer /ɛkˈsplɔːɹə(ɹ)/, collaboration /kəˌlæbəˈɹeɪʃən/, critically /ˈkɹɪt.ɪ.kə.li/
如何用這段影片練習
- 先完整聽一遍影片,不要開口,記下不認識的單詞。
- 用正常速度逐句跟讀,每句重複到你的節奏與說話人一致為止。
- 錄下自己的聲音並與原聲對比,特別注意 liquid, rack, server 這類單詞。
什麼是跟讀法?
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧,最初開發用於專業口譯員的培訓,並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大:您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同,跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性,語調,節奏,連讀,聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。












