ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: The Truth About How Data Centers Use Water And Power To Keep Cool

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So here we can see all of the liquid cooling infrastructure for the Grace Blackwell Rack.

Inside this Equinix data center in San Jose, California, there are hundreds of server racks,

some executing massive AI compute tasks for the company's renting space here to run thousands of graphics and sensor processing units.

There are eight GPU racks in here

and each rack has 72 GPUs inside of it

and all those chips get hot under heavy workloads server can boil your eggs

they are like raining at 80 degree celsius the chips themselves would melt down

if they weren't continuously cooled and keeping these chips cool requires a lot of water and power

which is a major reason why there's a national backlash against

ai data centers backlash against data centers is growing across the country.

71 % of respondents said they would oppose the construction of a data center in their local area.

Backlash is also growing around power, water costs, who pays, local and state leaders are hitting pause on new projects.

The rate payers, both electrical and water, have seen their rates be shot up.

They don't wanna have to pay for these data centers to be there.

The largest data centers can use up to five million gallons per day.

That's what a small town of up to 50 ,000 might use.

A few data centers are using that much water, but most communities in the U .S.

don't have the infrastructure to support that demand.

But not all data centers and ways of keeping them cool are created equal.

These servers are liquid -cooled in a closed -loop system, but liquid cooling is only the start of the water

and power equation because the facility still has to get rid of the heat that's been absorbed by the liquid.

How a data center does that is what really determines consumption rates.

This closed -loop system itself doesn't necessarily mean the data center doesn't use water.

How do we reject the heat from the closed -loop to the ambient environment?

That's where the water usage comes in.

From dry cooling to evaporative cooling towers and hybrid solutions in between, we visited data centers around the country and chip plants

that need even more water to find out how data centers really use water, what liquid cooling looks like,

and where the companies running the biggest AI workloads have room to improve.

Inside data centers with closed loop systems, hyperscalers often label their cooling systems as using zero water for a majority of the year.

What they're not taking into account is once that heat is moved off the chip, it has to get moved out of the building.

And that part takes water and power.

In fact, saving water often means using more power for cooling.

There's no sort of silver bullet, but at some point you need to eject that heat out to the atmosphere, and that's where those tradeoffs occur.

But inside the servers that zero water use is largely right.

Once a closed loop system is filled up, no more water is consumed in this part of the process, keeping those chips inside the servers cool.

This is one of the 18 compute trays.

the gpus sit underneath these copper cold plates

that have liquid running through them to remove the heat from the system

this is amd's helios the only real competitor to nvidia's industry leading racks vera rubin

and grace blackwell and both companies designed their latest systems

so they can be entirely liquid cooled this is a cooling distribution unit

that takes chilled water in from the facility filters it pumps it

and distributes it to all of the helios racks keeping them cool

we're doing about 750 gallons per minute of chilled water

but unlike some cooling systems this one is completely closed loop and so it's not a drain upon the resources

the biggest advantage of liquid cooling however comes from just how quickly it can bring chip temperatures down

so they can get back to work.

Water is about 3 ,000 times more effective than air at removing heat from the chips.

Therefore, you're able to increase the density in the same footprint.

There's giant gigawatt plus sites built to run AI workloads for single huge companies like SpaceX AI, OpenAI, Google, Meta, and Amazon.

Then there's co -location data centers like this one.

Equinix, a big beneficiary of the AI boom, provides the building, power, network connections, and cooling to companies renting space for their server racks like

these NVIDIA Blackwell racks owned by NVIDIA -backed AI software startup Alembic.

So we went to an Equinix data center where these servers

are running real workloads today to see how this looks when the systems are powered on.

So these white pipes that are coming in are coming from our facility.

So it's our chilled water infrastructure and then it goes across a heat exchanger plate.

So that's how we're able to maintain the temperature and flow of the stainless steel piping that's distributed to the

This Equinix data center in San Jose is on a closed -loop system, but it does still consume water.

Like many data center operators, Equinix doesn't disclose water consumption at individual sites like this.

In 2025, though, all Equinix operations consumed 1 .2 billion gallons of water, up 10 % from 2024.

We're in 77 metros

and you know our entire global water footprint is the equivalent

of about 16 18 -hole golf courses in the southwestern United States.

One of the leading suppliers of liquid cooling equipment to giants like NVIDIA and AMD is CoolIT.

All the cold plates, the heat exchangers, and the connecting tissue between them.

We've done that for 25 years.

COOL -IT was acquired by water treatment company Ecolab for $4 .75 billion in July,

as AI drives huge demand for an especially efficient system called direct -to -chip cooling.

Direct -to -chip cooling uses a coolant that includes glycol to help stop corrosion, freezing, or biological growth inside the highly sensitive systems,

but it's still primarily made of water.

Legacy data centers were often air -cooled, in which large, noisy fans push cool air through heat exchangers to carry the heat away.

Air -cooled is for, let's say, CPU -based servers, cloud servers, storage servers, networking equipment.

They only need air -cooled because their heat density is much lower than GPUs.

And for GPUs, due to the high power density, air -cooled system is not enough.

They run at such a high wattage, a high temperature.

You would need nearly hurricane -force winds to actually cool them down if you were just using air, which is why water is so effective.

Still, the sheer scale of this data center build -out has many residents worried.

More than 2 ,000 new data centers are planned in communities all across the country, on top of nearly 1 ,400 already in operation.

In many places, the water supply simply can't support up to 8 million daily

gallons needed at peak times for a 1 -gigawatt site like MEDA's in Lebanon, Indiana.

Because in reality, there's a big way water is still used, even when it's a closed -loop system.

That water has to get cooled back down using external cooling, a separate step from closed -loop systems inside the building.

And it turns out the less water you use for this, the more power you need.

So let's talk about the options.

The simplest approach is just use the outside air.

And it works pretty well in the wintertime when the air is cold.

Using ambient air is indeed the least water -intensive method.

Known as dry cooling, large fans blow air across heat exchangers, using that outside air to cool it down.

Those fans don't work so well when the outside temperature is high.

And that's when power -hungry cooling units, similar to household AC, need to kick on.

That's a very power -intensive process.

And that's exactly why we have power shortages in the summer, because everybody else turns on their AC.

Evaporative cooling is the most water -intensive method because water is lost in evaporation.

The hot water circulates through cooling towers or over wet pads that are exposed to air,

and the portion that evaporates carries the heat away with it.

In between those two extremes, hybrid methods are common as companies try to find a balance,

such as dry cooling in the colder months and evaporative cooling when it's hot outside,

or a fine mist of water is sprayed to cool the incoming air before it passes through the dry cooling system.

100

There are data centers in Texas and in Phoenix, you know, where's 100 degrees during the day.

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They have the land to provide to the data centers, but they really are not the environment the data center should be in.

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Companies often build water treatment plants to help treat and recycle the necessary water, like one promised by Elon Musk in Memphis

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that's meant to turn treated municipal wastewater into cooling water for SpaceX AI's Colossus data centers.

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While Colossus 1 came online rapidly back in 2024, construction on the water treatment plant has stalled.

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Colossus is allocated up to 1 .28 million gallons of water per day, and reports indicate it uses an average of 800 ,000 gallons per day.

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As more data centers turn to water -efficient cooling methods, more power is needed.

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That's in addition to the power needed to run all the servers and equipment.

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It's why new data centers will account for most of the projected increase in electricity demand over the next decade,

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and why tech companies are building their own power plants, which also use a lot of water.

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At the end of the day, cooling the massive projects needed to supply the AI boom currently requires either a large amount of water or power.

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There are, however, companies working hard on ways to make it better.

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One idea? make the chips themselves run less hot.

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We provided over 25 degrees Celsius difference, or 40 degrees Celsius difference in the temperature, I mean, the thermal characteristics.

114

Lokwon Kim's South Korean chip startup, DeepX, makes a low -power AI processor that runs so cool, it doesn't even melt butter placed on top,

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as shown in a demo filmed by DeepX.

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We gave the same AI workload, and then we just put the butter on them.

117

Every chip melted each butter, except for the best chip.

118

Hyundai Motor Group Robotics Lab has announced that this year, their first commercialized robots will use our chips.

119

Lower heat chips are also in the works at SK Hynix, the world's leading maker of high bandwidth memory crucial for AI.

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Its next generation iHBM is designed specifically to reduce heat generation, which would lower the water or power needed for cooling.

121

We developed IHBM with ICE technology.

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ICE stands for integrated cooling element and we can reduce the thermal resistance by 30%.

123

At Cool IT, it's working on getting the liquid even closer to the chips.

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There's some really cool instances of water almost in the chip or just on top of the chip.

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That's all about being able to deliver even warmer water to the data center

126

and continuing this ride towards ever more efficient use of liquid cooling in data centers.

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And at data centers like Equinix, efficient water use is crucial as AI workloads and business from customers continues to grow.

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At Equinix, we take it very, very seriously.

129

Communities rightly have begun to ask the right questions.

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Data centers consume energy, they consume resources like water, but they also provide a very critical function to modern society.

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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้

บทเรียนฝึกพูดนี้ใช้วิดีโอ “The Truth About How Data Centers Use Water And Power To Keep Cool” เป็นสื่อ คำที่ถูกพูดซ้ำบ่อยที่สุด: center, cooling, chip, heat, liquid วิดีโอนี้มี 99 ประโยค และ 1919 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 11:44 ผู้พูดพูดด้วยความเร็วเป็นธรรมชาติ ประมาณ 163 คำต่อนาที ใกล้เคียงกับบทสนทนาในชีวิตประจำวัน มีเพียง 78% ของคำที่อยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ คำศัพท์จึงค่อนข้างยาก

คำศัพท์สำคัญในวิดีโอนี้

คำที่ควรเรียนรู้ 15 คำจากวิดีโอ พร้อมคำอ่านและความหมาย:

คำศัพท์	คำอ่าน	ความหมาย
server คำนาม	/ˈsɝvɚ/	เซิร์ฟเวอร์
liquid คำนาม	/ˈlɪk.wɪd/	ของเหลว
loop คำนาม	/luːp/	บ่วง
gallon คำนาม	/ˈɡælən/	แกลลอน
consume คำกริยา	/kənˈsum/	อุปโภค, ใช้
infrastructure คำนาม	/ˈɪnfɹəˌstɹʌkt͡ʃə/	โครงสร้างพื้นฐาน
butter คำนาม	/ˈbʌtɚ/	เนย
density คำนาม	/ˈdɛn.sə.ti/	ความหนาแน่น
melt คำกริยา	/mɛlt/	ละลาย
consumption คำนาม	/kənˈsʌmp.ʃən/	การบริโภค
necessarily คำกริยาวิเศษณ์	/ˌnɛs.əˈsɛɹ.ə.li/	ต้อง
occur คำกริยา	/əˈkɜː/	เกิด
atmosphere คำนาม	/ˈætməsˌfɪɹ/	บรรยากาศ
cloud คำนาม	/ˈklaʊ̯d/	เมฆ
egg คำนาม	/ɛɡ/	ไข่

ไวยากรณ์ในวิดีโอนี้

โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:

โครงสร้าง	ในวิดีโอ
Passive voice be + กริยาช่อง 3 — เน้นสิ่งที่เกิดขึ้น ไม่ใช่ผู้กระทำ	weren't continuously cooled · be shot · are created
Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบัน	have seen · that's been absorbed · We've done

การออกเสียงที่ควรระวัง

ผู้พูดใช้รูปย่อและรูปลดเสียง 14 ครั้ง เช่น doesn't, don't, we're ให้พูดแบบสั้นตามที่ได้ยิน

เสียง “th”: thermal /ˈθɜːməl/, underneath /ˌʌndɚˈniθ/, bandwidth /ˈbændwɪdθ/
เสียง “sh” และ “zh”: efficient /ɪˈfɪʃənt/, backlash /ˈbækˌlæʃ/, consumption /kənˈsʌmp.ʃən/, crucial /ˈkɹuː.ʃəl/, tissue /ˈtɪʃ.(j)u/
คำยาว — ลงเสียงหนักให้ถูกพยางค์: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, necessarily /ˌnɛs.əˈsɛɹ.ə.li/, primarily /ˈpɹaɪ.mə.ɹə.li/, electricity /ɪˌlɛkˈtɹɪsɪti/, electrical /ɪˈlɛktɹɪkəl/

เสียงที่คนไทยมักออกเสียงยาก:

เสียงท้ายคำ — ออกเสียงให้ครบ ไม่เปลี่ยนเป็นตัวสะกดแบบไทย: chill /tʃɪl/, intensive /ɪnˈtɛnsɪv/, backlash /ˈbækˌlæʃ/, crucial /ˈkɹuː.ʃəl/, thermal /ˈθɜːməl/
/v/ — ไม่ใช่ /w/ ให้ฟันบนแตะริมฝีปากล่าง: server /ˈsɝvɚ/, intensive /ɪnˈtɛnsɪv/, sensitive /ˈsɛn.sɪt.ɪv/, vera /ˈvɪɹə/, evaporate /ɪˈvæp.ə.ɹeɪt/
/z/ — เสียงก้อง ไม่ใช่ /s/: resident /ˈɹɛzɪdənt/, freeze /ˈfɹiːz/, pause /pɔːz/, expose /ɪkˈspoʊz/, oppose /əˈpoʊz/

วิธีฝึกกับวิดีโอนี้

ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
เริ่มที่ความเร็ว 0.75× พูดตามทีละประโยค แล้วกลับไปใช้ความเร็วปกติเมื่อเริ่มคล่อง
อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง server, liquid, loop เป็นพิเศษ

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →

ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: The Truth About How Data Centers Use Water And Power To Keep Cool

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การออกเสียงที่ควรระวัง

วิธีฝึกกับวิดีโอนี้

เทคนิค Shadowing คืออะไร?