Amazon Web Services CEO Adam Selipsky speaks at the Collision conference in Toronto on June 27, 2023.
Chloe Ellingson | Bloomberg | Getty Images
Amazon‘s AWS cloud unit announced its new Trainium2 artificial intelligence chip and the general-purpose Graviton4 processor during its Reinvent conference in Las Vegas on Tuesday. The company also said it will offer access to Nvidia’s latest H200 AI graphics processing units.
Amazon Web Services is trying to stand out as a cloud provider with a variety of cost-effective options. It won’t just sell cheap Amazon-branded products, though. Just as in its online retail marketplace, Amazon’s cloud will feature top-of-the-line products. Specifically, that means highly sought after GPUs from top AI chipmaker Nvidia.
The dual-pronged approach might put AWS in a better position to go up against its top competitor. Earlier this month Microsoft took a similar dual-pronged approach by revealing its inaugural AI chip, the Maia 100, and also saying the Azure cloud will have Nvidia H200 GPUs.
The Graviton4 processors are based on Arm architecture and consume less energy than chips from Intel or AMD. Graviton4 promises 30% better performance than the existing Graviton3 chips, enabling what AWS said is better output for the price. Inflation has been higher than usual, inspiring central bankers to hike interest rates. Organizations that want to keep using AWS but lower their cloud bills to better deal with the economy might wish to consider moving to Graviton.
More than 50,000 AWS customers are already using Graviton chips. Startup Databricks and Amazon-backed Anthropic, an OpenAI competitor, plan to build models with the new Trainium2 chips, which will boast four times better performance than the original model, Amazon said.
AWS said it will operate more than 16,000 Nvidia GH200 Grace Hopper Superchips, which contain H100 GPUs and Nvidia’s Arm-based general-purpose processors, for Nvidia’s research and development group. Other AWS customers won’t be able to use these chips.
Demand for Nvidia GPUs has skyrocketed since startup OpenAI released its ChatGPT chatbot last year, wowing people with its abilities to summarize information and compose human-like text. It led to a shortage of Nvidia’s chips as companies raced to incorporate similar generative AI technologies into their products.
Normally, the introduction of an AI chip from a cloud provider might present a challenge to Nvidia, but in this case, Amazon is simultaneously expanding its collaboration with Nvidia. At the same time, AWS customers will have another option to consider for AI computing if they aren’t able to secure the latest Nvidia GPUs.
Amazon is the leader in cloud computing but has been renting out GPUs in its cloud for over a decade. In 2018 it followed cloud challengers Alibaba and Google in releasing an AI processor that it developed in-house, giving customers powerful computing at an affordable price.
AWS has launched more than 200 cloud products since 2006, when it released its EC2 and S3 services for computing and storing data. Not all of them have been hits. Some go without updates for a long time and a rare few are discontinued, freeing up Amazon to reallocate resources. However, the company continues to invest in the Graviton and Trainium programs, suggesting that Amazon senses demand.
AWS didn’t announce release dates for virtual-machine instances with Nvidia H200 chips, or instances relying on its Trainium2 silicon. Customers can start testing Graviton4 virtual-machine instances now before they become commercially available in the next few months.
The logo of an Apple Store is seen reflected on the glass exterior of a Samsung flagship store in Shanghai, China Monday, Oct. 20, 2025.
Wang Gang | Feature China | Future Publishing | Getty Images
A shortage of memory chips fueled by artificial intelligence players is likely to cause a price rise in smartphones in 2026 and a drop in shipments, Counterpoint Research said in a note on Tuesday.
Smartphone shipments could fall 2.1% in 2026, according to Counterpoint, versus a previous outlook of flat-to-positive growth.
Shipments do not equate to sales but are a measure of demand as they track the number of devices being sent to sales channels like stores.
Meanwhile, the average selling price of smartphones could jump 6.9% year-on-year in 2026, Counterpoint said, in comparison to a previous forecast of a 3.6% rise.
The continued build-out of data centres globally has hiked demand for systems developed by Nvidia, which in turn uses components designed by SK Hynix and Samsung — the two biggest suppliers of so-called memory chips.
However, a specific component called dynamic random-access memory or DRAM, which is used in AI data centers, is also critical for smartphones. DRAM prices have surged this year as demand outstrips supply.
For low-end smartphones priced below $200, the bill of materials cost has increased 20% to 30% since the beginning of the year, Counterpoint said. The bill of materials is the cost of producing a single smartphone.
The mid and high-end smartphone segment has seen material costs rise 10% to 15%.
“Memory prices could rise another 40% through Q2 2026, resulting in BoM costs increasing anywhere between 8% and over 15% above current elevated levels,” Counterpoint said.
The rising price of components could be passed on to consumers and that will in turn, drive the rise in the average selling price.
“Apple and Samsung are best positioned to weather the next few quarters,” MS Hwang, research director at Counterpoint, said in the note. “But it will be tough for others that don’t have as much wiggle room to manage market share versus profit margins.”
Hwang said this will “play out especially” with Chinese smartphone makers who are in the mid-to-lower end of the market.
Counterpoint said some companies may downgrade components like camera modules, displays and even audio, as well as reusing old components. Smartphone players are likely to try to incentivize consumers to buy their higher-priced devices too.
A trader works on the floor at the New York Stock Exchange (NYSE) in New York City, U.S., Dec.15, 2025.
Brendan McDermid | Reuters
U.S. stocks of late have been shaky as investors turn away from artificial intelligence shares, especially those related to AI infrastructure, such as Oracle, Broadcom and CoreWeave.
The worry is that those companies are running into high levels of debt to finance their multibillion-dollar deals.
The stock lost 2.7% on Monday, while shares of CoreWeave, its fellow player in the AI data center trade dropped around 8%. Broadcom also retreated over concerns over margin compression, sliding about 5.6%.
That said, major indexes were not too adversely affected as investors continued rotating into sectors such as consumer discretionary and industrials. The S&P 500 slipped 0.16%, the Dow Jones Industrial Average ticked down just 0.09% and the Nasdaq Composite, comprising more tech firms, fell 0.59%.
The broader market performance suggests that the fears are mostly contained within the AI infrastructure space.
“It definitely requires the ROI [return on investment] to be there to keep funding this AI investment,” Matt Witheiler, head of late-stage growth at Wellington Management, told CNBC’s “Money Movers” on Monday. “From what we’ve seen so far that ROI is there.”
Witheiler said the bullish side of the story is that, “every single AI company on the planet is saying if you give me more compute I can make more revenue.”
The ready availability of clients, according to that argument, means those companies that provide the compute — Oracle and CoreWeave — just need to make sure their finances are in order.
— CNBC’s Ari Levy contributed to this report.
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Customers walk in the parking lot outside a Costco store on December 02, 2025 in Chicago, Illinois.
Traders work on the floor at the New York Stock Exchange in New York City, U.S., Dec. 15, 2025.
Brendan McDermid | Reuters
U.S. stocks of late have been shaky as investors turn away from artificial intelligence shares, especially those related to AI infrastructure, such as Oracle, Broadcom and CoreWeave.
The worry is that those companies are running into high levels of debt to finance their multibillion-dollar deals.
The stock lost 2.7% on Monday, while shares of CoreWeave, its fellow player in the AI data center trade dropped around 8%. Broadcom also retreated over concerns over margin compression, sliding about 5.6%.
That said, the broader market was not affected too adversely as investors continued rotating into sectors such as consumer discretionary and industrials. The S&P 500 slipped 0.16%, the Dow Jones Industrial Average ticked down just 0.09% and the Nasdaq Composite, comprising more tech firms, fell 0.59%.
The broader market performance suggests that the fears are mostly contained within the AI infrastructure space.
“It definitely requires the ROI [return on investment] to be there to keep funding this AI investment,” Matt Witheiler, head of late-stage growth at Wellington Management, told CNBC’s “Money Movers” on Monday. “From what we’ve seen so far that ROI is there.”
Witheiler said the bullish side of the story is that, “every single AI company on the planet is saying if you give me more compute I can make more revenue.”
The ready availability of clients, according to that argument, means those companies that provide the compute — Oracle and CoreWeave — just need to make sure their finances are in order.
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U.S. collects $200 billion in tariffs. The country’s Customs and Border Protection agency said Monday that the tally comprises only new tariffs, including “reciprocal” and “fentanyl” levies, imposed by U.S. President Trump in his second term.
Ukraine-Russia peace deal is nearly complete. That’s according to U.S. officials, who held talks with Ukraine President Volodymyr Zelenskyy beginning Sunday. Ukraine has offered to give up its NATO bid, while Russia is open to Ukraine joining the EU, officials said.
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Customers walk in the parking lot outside a Costco store on December 02, 2025 in Chicago, Illinois.