Questions and answers:

• What are the Vertiv CoolChip CDU models for? They are designed for liquid cooling in high-performance computing (HPC) and artificial intelligence (AI) applications, including retrofit and greenfield data centers.
• What is the cooling capacity of the Vertiv CoolChip CDU 600, and what type of system is it? The Vertiv CoolChip CDU 600 provides 600 kilowatts of cooling, and is an in-row, liquid-to-liquid cooling system.
• How does the Vertiv CoolChip CDU 100 support high-density workloads? It offers 100 kilowatts of cooling in a 4U form factor with a large-surface heat exchanger, integrated controller, and built-in fluid filtration for thermal stability.

WESTERVILLE, Ohio – Vertiv Group Corp. in Westerville, Ohio, is introducing three versions of the Vertiv CoolChip Coolant Distribution Unit (CDU) for liquid cooling in high-performance computing (HPC) and artificial intelligence (AI) applications.

The the Vertiv CoolChip CDU 70, Vertiv CoolChip CDU 100, and Vertiv CoolChip CDU 600 are direct-to-chip (DTC) liquid thermal management systems.

These models are for retrofit or greenfield data center environments, with models including in-rack and row-based configurations, and liquid-to-air and liquid-to-liquid technologies. The Vertiv CoolChip CDU family is for applications ranging from retrofitting existing facilities to scaling high-density AI and HPC clusters in new builds.

_________________________

Tell me more about electronics liquid cooling

• Electronics liquid cooling uses liquids — typically water or specialized coolants — to absorb and transfer heat away from high-power electronic components. Unlike traditional air cooling, liquid cooling is more efficient at handling dense heat loads in applications like high-performance computing (HPC), data centers, and military electronics. Key methods include direct-to-chip (DTC) cooling, cold plates, and immersion cooling.

_________________________

The CoolChip CDU 70 is an in-row, liquid-to-air coolant distribution unit for liquid cooling in data centers that must use existing thermal infrastructure. The system delivers as much as 70 kilowatts of cooling capacity.

Its integrated controller supports real-time monitoring, group control and unit-to-unit communication, for coordinated thermal performance, simplified management, and efficient scaling across several different racks.

Vertiv CoolChip CDU 100 offers liquid-to-liquid in-rack cooling for high-density workloads. If offers 100 kilowatts of cooling capacity in a 4U form factor and a large-surface heat exchanger engineered for low approach temperatures. An integrated controller provides monitoring and control, and built-in filtration help maintain fluid quality and thermal stability.

Liquid-to-liquid cooling

The Vertiv CoolChip CDU 600 is an in-row liquid-to-liquid model for AI and HPC deployments. The 600-kilowatt system is for hyperscale and colocation environments, supports in-row configurations, and integrates into raised-floor or retrofit installations.

It offers a top- or bottom-piping connection and available internal manifolds, streamlines infrastructure planning, and speeds installation with redundant pumps, and advanced monitoring for temperature and fluid quality.

For more information contact Vertiv online at www.vertiv.com.

Policies must block confidential information from being input into public generative AI systems; they must also ban unlawful discrimination via AI programs. Court staff and judicial officers must also “take reasonable steps” to confirm the accuracy of material, as per a statement published by Reuters. Staff and judicial officers must also reveal whether they used AI if the final version of any publicized written, visual, or audio work was AI-generated.

Courts must implement their respective policies by September 1.

Task force chair Brad Hill told the council in a statement published by Reuters that the rule “strikes the best balance between uniformity and flexibility.” He explained that the task force steered clear of a rule that would dictate court use of the evolving technology.

Illinois, Delaware, and Arizona have also taken on generative AI rules or policies. New York, Georgia, and Connecticut are presently evaluating generative AI use in court.

California’s court system comprises five million cases, 65 courts, and around 1,800 judges. The AI task force was established to address the increasing interest in generative AI as well as public concern about its effect on the judiciary; it supervises the development of AI use policy recommendations in this branch.

• Meta Platforms’ recent rally has brought its market cap close to the $2 trillion mark.

• The digital advertising giant’s upcoming earnings report could help it hit this milestone.

• Meta’s ability to deliver strong returns to advertisers with the help of AI tools could help it grow at a faster pace than the end market in the long run, paving the way for more upside.

• These 10 stocks could mint the next wave of millionaires ›

Meta Platforms (NASDAQ: META) stock has been rallying impressively of late, gaining more than 32% in the past three months amid the broader rally in technology stocks. As a result, Meta’s market cap has jumped to $1.8 trillion as of this writing on July 14, making it the sixth-largest company in the world.

Meta is slated to release its second-quarter results after the market closes on July 31. The company has been able to grow at a faster pace than the digital ad market thanks to the integration of artificial intelligence (AI) tools into its offerings, which could enable it to deliver another solid set of results later this month.

Given that Meta stock is just 11% away from entering the $2 trillion market cap club as I write this, there is a good chance it could achieve that milestone in July, driven by the tech stock rally and a healthy quarterly report.

Let’s look at the reasons why Meta stock is primed for more upside this month and in the long run.

It is worth noting that Meta’s earnings have been better than consensus expectations in each of the last four quarters. One reason is the increase in spending across its family of applications by advertisers. In the first quarter, for instance, Meta reported an impressive increase of 10% year over year in the average price per ad.

Ad impressions also increased by 5% from the year-ago period, which means the company is delivering more ads. This combination of higher pricing per ad and an increase in impressions delivered enabled Meta to report a 37% year-over-year increase in its earnings to $6.43 per share in Q1. However, investors should also note that the company has been aggressively increasing its capital expenditures (capex) to bolster its AI infrastructure.

It expects to spend $68 billion on capex in 2025, at the midpoint of its guidance range. That would be a massive increase over its 2024 capex of $39 billion. This explains why analysts are expecting Meta’s earnings to increase at a slower year-over-year pace of 13% for the second quarter to $5.84 per share. While the increased investment in AI-focused data center infrastructure is undoubtedly likely to weigh on Meta’s bottom line in the short run, the higher returns its AI investments are generating on the advertising front could help it beat the market’s bottom-line expectations. And beating expectations often sends a stock up, as investors react with excitement and optimism.

Story Continues

Meta management points out that users are now spending more time on its applications thanks to AI-recommended content. In the six months that ended March 31, Meta saw the time spent on Facebook and Instagram increase by 7% and 6%, respectively. The increase in user engagement tells us why it has been able to serve more ads.

Moreover, the gains advertisers have seen on the dollars they are spending on Meta’s applications are also quite solid. A couple of months ago, Meta said it “assessed the impact of [its] new AI-driven advertising tools and found that they drive a 22% improvement in return on ad spend for advertisers. This means that for every dollar U.S. advertisers spend with Meta, they see a $4.52 return when they use [its] new AI-driven advertising tools.”

Unsurprisingly, Meta saw a 30% increase in the number of advertisers using its AI tools to create campaigns in the first quarter. So, there is indeed a solid possibility that Meta will clock healthy growth in ads delivered and the average price per ad in Q2, which could pave the way for a better-than-expected jump in its bottom line and help the company cross the $2 trillion milestone. I expect it to hit that market cap before Aug. 1.

Looking ahead, Meta expects that it will allow advertisers to completely automate the creation and execution of ad campaigns by the end of next year. As such, there is a good chance that Meta’s earnings growth could accelerate from 2026, following this year’s projected increase of 7%. Estimates are shown in the chart below.

However, there is a strong possibility that Meta’s earnings growth will outpace market expectations, thanks to AI. That’s why it won’t be surprising to see its market cap jumping to higher levels in the long run, as the digital ad market is expected to clock a robust annual growth rate of 15% through 2030, and Meta has the ability to keep growing at a faster pace than the end market.

Ever feel like you missed the boat in buying the most successful stocks? Then you’ll want to hear this.

On rare occasions, our expert team of analysts issues a “Double Down” stock recommendation for companies that they think are about to pop. If you’re worried you’ve already missed your chance to invest, now is the best time to buy before it’s too late. And the numbers speak for themselves:

• Nvidia: if you invested $1,000 when we doubled down in 2009, you’d have $447,134!*

• Apple: if you invested $1,000 when we doubled down in 2008, you’d have $40,090!*

• Netflix: if you invested $1,000 when we doubled down in 2004, you’d have $652,133!*

Right now, we’re issuing “Double Down” alerts for three incredible companies, available when you join Stock Advisor, and there may not be another chance like this anytime soon.

See the 3 stocks »

*Stock Advisor returns as of July 14, 2025

Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Meta Platforms. The Motley Fool has a disclosure policy.

Prediction: This Artificial Intelligence (AI) Stock Could Hit a $2 Trillion Valuation by July 31 was originally published by The Motley Fool