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Nvidia’s AI Servers Are About to Get Pricier — What a 15%+ Hike Means for the Whole Stack

Some of NVIDIA Corporation (NASDAQ:NVDA)’s largest customers have been told that prices of servers ‌containing its AI chips will rise by more than 15%, according to a Bloomberg News report from August 22. The increases will go into effect on systems ⁠shipped early next year and will include those with the flagship Vera Rubin and Grace Blackwell chips, the report said.

While Nvidia hasn’t yet confirmed the news, the hikes tied to soaring memory costs will depend on the chip generation and memory configurations. The report added that server manufacturers supplying Microsoft, Oracle, and Google have already begun notifying customers. The news lands just days ahead of the chipmaker’s earnings release on August 26.

Why Now?

NVIDIA Corporation (NASDAQ:NVDA)’s core manufacturing costs aren’t driving these price hikes. Rather, it’s a broader industry-wide memory shortage. Due to the AI infrastructure boom, memory manufacturers such as Samsung Electronics and SK Hynix have gained outsized pricing power, allowing them to pass down these costs downstream and forcing hardware providers such as Nvidia to hike server prices.

Nvidia has already raised prices on GEForce graphics cards earlier in the month. As per a Bloomberg report, this pressure has now reached the top of the Nvidia stack, with the 15% rise on systems selling for millions of dollars each adding hundreds of thousands of dollars per rack across deployments.

The Bull Case

The bullish interpretation for Nvidia’s price hikes is pretty straightforward. The chipmaker may have enough ability to pass on its costs to customers while accelerator supply remains tight, demonstrating a sign of pricing power. If Nvidia’s margins stay steady even after it enforces the hikes, and hyperscalers continue ordering at planned volumes, the costs are likely being absorbed by customers rather than Nvidia itself.

Moreover, price increases, if accepted without any resistance, would be an evidence of extraordinary demand. This would in turn reinforce the AI infrastructure boom. With customers eating most of the memory inflation, Nvidia is likely to have the pricing power in the stack. This is an important point considering investors are watching how rising HBM costs could erode Nvidia’s gross-margin profile.

The Bear Case

While Nvidia may be demonstrating pricing strength, every pricing hike also improves the economics of seeking alternatives. This is because the hikes are eventually squeezing the economics of buyers purchasing these systems, who may eventually move to other options, if they become available.

Companies such as Amazon, Microsoft, Meta, and Google are all developing in-house accelerators. However, these companies also remain dependent on purchases from Nvidia for their data center build-out. Their independence also depends on the supply from Samsung, SK Hynix and Micron Technology, Inc. (NASDAQ:MU).

Hedge Fund Sentiment

Institutional interest has only been gaining more ground in the AI chipmaker. In the first quarter 0f 2026, Insider Monkey’s database showed the number of hedge fund holders increased  in Nvidia from 264 to 275. This number climbed to 285 in Q2. Recent filings also show that Fisher Asset Management increased its stake by 3% to hold 90.94 million shares worth $18 billion. AQR Capital Management also boosted its position by 18%, while Arrowstreet Capital increased its holding by 10%.

Overall, the reported Nvidia price hike is more of a supply-chain story. Nvidia’s August 26 earnings call may provide clues on whether Bloomberg’s reporting holds true, and whether the company itself considers this as a margin risk or a pricing opportunity.

READ NEXT: Salesforce (CRM) Has a $315 Bull Case, but Earnings Need to Prove One Thing  and Pony AI Is Scaling Robotaxis Fast—Can the Stock Reach BofA’s $17 Target?

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The $250 Trillion AI Hype is Real. A few years from now, you’ll probably wish you’d bought this stock.

Dr. Inan Dogan

Dr. Ian Dogan

Co-Founder and Research Director at Insider Monkey

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard.

Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences.

At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000.

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Dr. Ian Dogan

Co-Founder and Research Director at Insider Monkey

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