After a quarter where Nvidia’s sales nearly doubled, investors and analysts are wondering how long the chipmaker can keep this kind of growth going now that it has a $140 billion annual revenue run rate.
Those hopes fall on Blackwell, which is Nvidia’s name for a family of server products based around its next-generation AI chip.
CEO Jensen Huang and CFO Colette Kress gave investors several new data points on how Blackwell’s launch is shaping up on a call with analysts on Wednesday. The duo emphasized that the rollout is on track, and they signaled that Blackwell sales over the next few quarters will be limited by how many chips and systems Nvidia can make, not how much it can sell.
“Blackwell production is in full steam,” Huang said. “We will deliver this quarter more Blackwells than we had previously estimated.”
The company’s positive comments on Blackwell are one reason why the stock is only down 1%, despite the company missing elevated expectations from bullish investors who anticipated Nvidia would significantly exceed its own forecasts.
Huang and Kress’s comments also addressed fears about shipment delays that were spurred by reports that said Nvidia was making ongoing engineering changes to its systems to address problems.
Some of Nvidia’s most important end-customers have already received some Blackwell chips, the company confirmed on Wednesday. Microsoft, Oracle and OpenAI have posted pictures of Blackwell-based server racks on their social media accounts, and on Wednesday, the company said 13,000 Blackwell chips have already been shipped to customers.
“There’s still a lot of a lot of engineering that happens at this point,” Huang said. “But as you see from all of the systems that are being stood up, Blackwell is in great shape.”
Those sample chips aren’t the bulk of the shipments that the company is expecting to make. They’re early versions intended to allow customers to start testing and get their systems and software ready for the volume shipments, which will start in Nvidia’s current quarter.
“We will we’ll ship more Blackwells next quarter than this [quarter], and we’ll ship more Blackwells the quarter after that than than our first quarter,” Huang said.
In July, Nvidia said it expected “several billion dollars” of Blackwell revenue in its current quarter, and on Wednesday, the company said it expects the amount of Blackwell sales for this quarter to be higher than its original forecast. Huang also said that Microsoft will soon start to preview its Blackwell-based systems to cloud customers.
A limiting factor to producing more Blackwell systems is the amount of components that Nvidia’s suppliers can provide, Huang said. Additionally, it takes time to ramp up the velocity of a manufacturing process that has gone from zero shipments to billions of dollars of shipments in a few months.
“It is the case that demand exceeds our supply, and that’s expected as we’re in the beginnings of this generative AI revolution,” Huang said.
“Almost every company in the world seems to be involved in our supply chain,” Huang said.
Nvidia said that Blackwell’s gross margins will be lower in the coming months than the 73.5% it reported in the third quarter, but the company said that margin will increase as the product matures. Huang pointed out that Blackwell comes as just the chip itself or in configurations that include an entire rack and other components.
Nvidia’s overall message on Wednesday was that its new Blackwell chip is in short supply because companies like OpenAI need the fastest GPUs available as quickly as possible to develop next-generation AI models. As Blackwell rolls out, Nvidia’s current AI chips, which it calls Hopper, will be relegated to serving AI models, not creating new ones. Nvidia said that Blackwell sales will eventually exceed those of Hopper.
“You see now that at the tail end of the last generation of foundation models, we’re at at about 100,000 Hoppers,” Huang said. “The next generation starts at 100,000 Blackwells.”
Elon Musk looks on as U.S. President Donald Trump meets South African President Cyril Ramaphosa in the Oval Office of the White House in Washington, D.C., U.S., May 21, 2025.
Kevin Lamarque | Reuters
The Elon Musk-owned social media platform X experienced a brief outage on Saturday morning, with tens of thousands of users reportedly unable to use the site.
About 25,000 users reported issues with the platform, according to the analytics platform Downdetector, which gathers data from users to monitor issues with various platforms.
Roughly 21,000 users reported issues just after 8:30 a.m. ET, per the analytics platform.
The issues appeared to be largely resolved by around 9:55 a.m., when about 2,000 users were reporting issues with the platform.
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X did not immediately respond to CNBC’s request for comment. Additional information on the outage was not available.
Musk, the billionaire owner of SpaceX and Tesla, acquired X, formerly known as Twitter in 2022.
The site has had a number of widespread outages since the acquisition.
Artificial intelligence robot looking at futuristic digital data display.
Yuichiro Chino | Moment | Getty Images
Businesses are turning to artificial intelligence tools to help them navigate real-world turbulence in global trade.
Several tech firms told CNBC say they’re deploying the nascent technology to visualize businesses’ global supply chains — from the materials that are used to form products, to where those goods are being shipped from — and understand how they’re affected by U.S. President Donald Trump’s reciprocal tariffs.
Last week, Salesforce said it had developed a new import specialist AI agent that can “instantly process changes for all 20,000 product categories in the U.S. customs system and then take action on them” as needed, to help navigate changes to tariff systems.
Engineers at the U.S. software giant used the Harmonized Tariff Schedule, a 4,400-page document of tariffs on goods imported to the U.S., to inform answers generated by the agent.
“The sheer pace and complexity of global tariff changes make it nearly impossible for most businesses to keep up manually,” Eric Loeb, executive vice president of government affairs at Salesforce, told CNBC. “In the past, companies might have relied on small teams of in-house experts to keep pace.”
Firms say that AI systems are enabling them to take decisions on adjustments to their global supply chains much faster.
Andrew Bell, chief product officer of supply chain management software firm Kinaxis, said that manufacturers and distributors looking to inform their response to tariffs are using his firm’s machine learning technology to assess their products and the materials that go into them, as well as external signals like news articles and macroeconomic data.
“With that information, we can start doing some of those simulations of, here is a particular part that is in your build material that has a significant tariff. If you switched to using this other part instead, what would the impact be overall?” Bell told CNBC.
‘AI’s moment to shine’
Trump’s tariffs list — which covers dozens of countries — has forced companies to rethink their supply chains and pricing, with the likes of Walmart and Nikealready raising prices on some products. The U.S. imported about $3.3 trillion of goods in 2024, according to census data.
Uncertainty from the U.S. tariff measures “actually probably presents AI’s moment to shine,” Zack Kass, a futurist and former head of OpenAI’s go-to-market strategy, told CNBC’s Silvia Amaro at the Ambrosetti Forum in Italy last month.
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“If you wonder how hard things could get without AI vis-a-vis automation, and what would happen in a world where you can’t just employ a bunch of people overnight, AI presents this alternative proposal,” he added.
Nagendra Bandaru, managing partner and global head of technology services at Indian IT giant Wipro, said clients are using the company’s agentic AI solutions “to pivot supplier strategies, adjust trade lanes, and manage duty exposure dynamically as policy landscapes evolve.”
Wipro says it uses a range of AI systems — both proprietary and supplied by third parties — from large language models to traditional machine learning and computer vision techniques to inspect physical assets in cross-border transit.
‘Not a silver bullet’
While it preferred to keep company names confidential, Wipro said that firms using its AI products to navigate Trump’s tariffs range from a Fortune 500 electronics manufacturer with factories in Asia to an automotive parts supplier exporting to Europe and North America.
“AI is a powerful enabler — but not a silver bullet,” Bandaru told CNBC. “It doesn’t replace trade policy strategy, it enhances it by transforming global trade from a reactive challenge into a proactive, data-driven advantage.”
AI was already a key investment priority for global firms prior to Trump’s sweeping tariff announcements on April. Nearly three-quarters of business leaders ranked AI and generative AI in their top three technologies for investment in 2025, according to a report by Capgemini published in January.
“There are a number of ways AI can assist companies dealing with the tariffs and resulting uncertainty. But any AI solution’s success will be predicated on the quality of the data it has access to,” Ajay Agarwal, partner at Bain Capital Ventures, told CNBC.
The venture capitalist said that one of his portfolio companies, FourKites, uses supply chain network data with AI to help firms understand the logistics impacts of adjusting suppliers due to tariffs.
“They are working with a number of Fortune 500 companies to leverage their agents for freight and ocean to provide this level of visibility and intelligence,” Agarwal said.
“Switching suppliers may reduce tariffs costs, but might increase lead times and transportation costs,” he added. “In addition, the volatility of the tariffs [has] severely impacted the rates and capacity available in both the ocean and the domestic freight networks.”
A Zoox autonomous robotaxi in San Francisco, California, US, on Wednesday, Dec. 4, 2024.
David Paul Morris | Bloomberg | Getty Images
Amazon‘s Zoox robotaxi unit issued a voluntary recall of its software for the second time in a month following a recent crash in San Francisco.
On May 8, an unoccupied Zoox robotaxi was turning at low speed when it was struck by an electric scooter rider after braking to yield at an intersection. The person on the scooter declined medical attention after sustaining minor injuries as a result of the collision, Zoox said.
“The Zoox vehicle was stopped at the time of contact,” the company said in a blog post. “The e-scooterist fell to the ground directly next to the vehicle. The robotaxi then began to move and stopped after completing the turn, but did not make further contact with the e-scooterist.”
Zoox said it submitted a voluntary software recall report to the National Highway Traffic Safety Administration on Thursday.
A Zoox spokesperson said the notice should be published on the NHTSA website early next week. The recall affected 270 vehicles, the spokesperson said.
The NHTSA said in a statement it had received the recall notice and that the agency “advises road users to be cautious in the vicinity of vehicles because drivers may incorrectly predict the travel path of a cyclist or scooter rider or come to an unexpected stop.”
If an autonomous vehicle continues to move after contact with any nearby vulnerable road user, it risks causing harm or further harm. In the AV industry, General Motors-backed Cruise exited the robotaxi business after a collision in which one of its vehicles injured a pedestrian who had been struck by a human-driven car and was then rolled over by the Cruise AV.
Zoox’s May incident comes roughly two weeks after the company announced a separate voluntary software recall following a recent Las Vegas crash. In that incident, an unoccupied Zoox robotaxi collided with a passenger vehicle, resulting in minor damage to both vehicles.
The company issued a software recall for 270 of its robotaxis in order to address a defect with its automated driving system that could cause it to inaccurately predict the movement of another car, increasing the “risk of a crash.”
Amazon acquired Zoox in 2020 for more than $1 billion, announcing at the time that the deal would help bring the self-driving technology company’s “vision for autonomous ride-hailing to reality.”
While Zoox is in a testing and development stage with its AVs on public roads in the U.S., Alphabet’s Waymo is already operating commercial, driverless ride-hailing services in Phoenix, San Francisco, Los Angeles and Austin, Texas, and is ramping up in Atlanta.
Teslais promising it will launch its long-delayed robotaxis in Austin next month, and, if all goes well, plans to expand after that to San Francisco, Los Angeles and San Antonio, Texas.