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Nvidia CEO on the next generation of semiconductors and computing

Nvidia’s next-generation graphics processor for artificial intelligence, called Blackwell, will cost between $30,000 and $40,000 per unit, CEO Jensen Huang told CNBC’s Jim Cramer.

“This will cost $30 to $40 thousand dollars,” Huang said, holding up the Blackwell chip.

“We had to invent some new technology to make it possible,” he continued, estimating that Nvidia spent about $10 billion in research and development costs.

The price suggests that the chip, which is likely to be in hot demand for training and deploying AI software like ChatGPT, will be priced in a similar range to its predecessor, the H100, or the “Hopper” generation, which cost between $25,000 and $40,000 per chip, according to analyst estimates. The Hopper generation, introduced in 2022, represented a significant price increase for Nvidia’s AI chips over the previous generation.

Nvidia CEO Jensen Huang compares the size of the new “Blackwell” chip versus the current “Hopper” H100 chip at the company’s developer conference, in San Jose, California.

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Nvidia announces a new generation of AI chips about every two years. The latest, like Blackwell, are generally faster and more energy efficient, and Nvidia uses the publicity around a new generation to rake in orders for new GPUs. Blackwell combines two chips and is physically larger than the previous-generation.

Nvidia’s AI chips have driven a tripling of quarterly Nvidia sales since the AI boom kicked off in late 2022 when OpenAI’s ChatGPT was announced. Most of the top AI companies and developers have been using Nvidia’s H100 to train their AI models over the past year. For example, Meta is buying hundreds of thousands of Nvidia H100 GPUs, it said this year.

Nvidia does not reveal the list price for its chips. They come in several different configurations, and the price an end consumer like Meta or Microsoft might pay depends on factors such as the volume of chips purchased, or whether the customer buys the chips from Nvidia directly through a complete system or through a vendor like Dell, HP, or Supermicro that builds AI servers. Some servers are built with as many as eight AI GPUs.

On Monday, Nvidia announced at least three different versions of the Blackwell AI accelerator — a B100, a B200, and a GB200 that pairs two Blackwell GPUs with an Arm-based CPU. They have slightly different memory configurations and are expected to ship later this year.

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Amazon Web Services is building equipment to cool Nvidia GPUs as AI boom accelerates

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Amazon Web Services is building equipment to cool Nvidia GPUs as AI boom accelerates

The letters AI, which stands for “artificial intelligence,” stand at the Amazon Web Services booth at the Hannover Messe industrial trade fair in Hannover, Germany, on March 31, 2025.

Julian Stratenschulte | Picture Alliance | Getty Images

Amazon said Wednesday that its cloud division has developed hardware to cool down next-generation Nvidia graphics processing units that are used for artificial intelligence workloads.

Nvidia’s GPUs, which have powered the generative AI boom, require massive amounts of energy. That means companies using the processors need additional equipment to cool them down.

Amazon considered erecting data centers that could accommodate widespread liquid cooling to make the most of these power-hungry Nvidia GPUs. But that process would have taken too long, and commercially available equipment wouldn’t have worked, Dave Brown, vice president of compute and machine learning services at Amazon Web Services, said in a video posted to YouTube.

“They would take up too much data center floor space or increase water usage substantially,” Brown said. “And while some of these solutions could work for lower volumes at other providers, they simply wouldn’t be enough liquid-cooling capacity to support our scale.”

Rather, Amazon engineers conceived of the In-Row Heat Exchanger, or IRHX, that can be plugged into existing and new data centers. More traditional air cooling was sufficient for previous generations of Nvidia chips.

Customers can now access the AWS service as computing instances that go by the name P6e, Brown wrote in a blog post. The new systems accompany Nvidia’s design for dense computing power. Nvidia’s GB200 NVL72 packs a single rack with 72 Nvidia Blackwell GPUs that are wired together to train and run large AI models.

Computing clusters based on Nvidia’s GB200 NVL72 have previously been available through Microsoft or CoreWeave. AWS is the world’s largest supplier of cloud infrastructure.

Amazon has rolled out its own infrastructure hardware in the past. The company has custom chips for general-purpose computing and for AI, and designed its own storage servers and networking routers. In running homegrown hardware, Amazon depends less on third-party suppliers, which can benefit the company’s bottom line. In the first quarter, AWS delivered the widest operating margin since at least 2014, and the unit is responsible for most of Amazon’s net income.

Microsoft, the second largest cloud provider, has followed Amazon’s lead and made strides in chip development. In 2023, the company designed its own systems called Sidekicks to cool the Maia AI chips it developed.

WATCH: AWS announces latest CPU chip, will deliver record networking speed

AWS announces latest CPU chip, will deliver record networking speed

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Bitcoin rises to fresh record above $112,000, helped by Nvidia-led tech rally

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Bitcoin rises to fresh record above 2,000, helped by Nvidia-led tech rally

The logo of the cryptocurrency Bitcoin can be seen on a coin in front of a Bitcoin chart.

Silas Stein | Picture Alliance | Getty Images

Bitcoin hit a fresh record on Wednesday afternoon as an Nvidia-led rally in equities helped push the price of the cryptocurrency higher into the stock market close.

The price of bitcoin was last up 1.9%, trading at $110,947.49, according to Coin Metrics. Just before 4:00 p.m. ET, it hit a high of $112,052.24, surpassing its May 22 record of $111,999.

The flagship cryptocurrency has been trading in a tight range for several weeks despite billions of dollars flowing into bitcoin exchange traded funds. Bitcoin purchases by public companies outpaced ETF inflows in the second quarter. Still, bitcoin is up just 2% in the past month.

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Bitcoin climbs above $112,000

On Wednesday, tech stocks rallied as Nvidia became the first company to briefly touch $4 trillion in market capitalization. In the same session, investors appeared to shrug off the latest tariff developments from President Donald Trump. The tech-heavy Nasdaq Composite notched a record close.

While institutions broadly have embraced bitcoin’s “digital gold” narrative, it is still a risk asset that rises and falls alongside stocks depending on what’s driving investor sentiment. When the market is in risk-on mode and investors buy growth-oriented assets like tech stocks, bitcoin and crypto tend to rally with them.

Investors have been expecting bitcoin to reach new records in the second half of the year as corporate treasuries accelerate their bitcoin buying sprees and Congress gets closer to passing crypto legislation.

Don’t miss these cryptocurrency insights from CNBC Pro:

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Perplexity launches AI-powered web browser for select group of subscribers

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Perplexity launches AI-powered web browser for select group of subscribers

Dado Ruvic | Reuters

Perplexity AI on Wednesday launched a new artificial intelligence-powered web browser called Comet in the startup’s latest effort to compete in the consumer internet market against companies like Google and Microsoft.

Comet will allow users to connect with enterprise applications like Slack and ask complex questions via voice and text, according to a brief demo video Perplexity released on Wednesday.

The browser is available to Perplexity Max subscribers, and the company said invite-only access will roll out to a waitlist over the summer. Perplexity Max costs users $200 per month.

“We built Comet to let the internet do what it has been begging to do: to amplify our intelligence,” Perplexity wrote in a blog post on Wednesday.

Perplexity is best known for its AI-powered search engine that gives users simple answers to questions and links out to the original source material on the web. After the company was accused of plagiarizing content from media outlets, it launched a revenue-sharing model with publishers last year.

In May, Perplexity was in late-stage talks to raise $500 million at a $14 billion valuation, a source familiar confirmed to CNBC. The startup was also approached by Meta earlier this year about a potential acquisition, but the companies did not finalize a deal.

“We will continue to launch new features and functionality for Comet, improve experiences based on your feedback, and focus relentlessly–as we always have–on building accurate and trustworthy AI that fuels human curiosity,” Perplexity said Wednesday.

WATCH: Perplexity CEO on AI race: The market of providing answers to questions will become a commodity

Perplexity CEO on AI race: The market of providing answers to questions will become a commodity

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