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BackNvidia Chip Prices Decline Amidst Shifting AI Infrastructure Focus
Nvidia Chip Prices Decline Amidst Shifting AI Infrastructure Focus
يتطور
CNBC22.06.2026Business2 dk okuma

Nvidia Chip Prices Decline Amidst Shifting AI Infrastructure Focus

نظرة سريعة

  • Nvidia's B200 chip compute price has dropped significantly since late May, falling from $6.11 to $4.22 per hour by June 21.
  • This occurs as Nvidia's stock falters compared to semiconductor ETFs, while competitors like Micron and Sandisk see gains.
  • Analysts remain bullish on Nvidia's long-term performance.

ملخص مُنشأ بالذكاء الاصطناعي

لماذا يهم

Nvidia's stock has been underperforming semiconductor ETFs recently, while competitors focusing on memory chips and AI infrastructure have seen significant gains. The price of computing power for Nvidia's flagship B200 chip has also declined.

حجم الخط

Shares of Nvidia have been faltering recently — and Kalshi traders predict that what the company can charge for chips is also declining.

While the artificial intelligence chipmaker is up about 12% in 2026, shares have been skidding in the past month, losing roughly 3%. In comparison, the VanEck Semiconductor ETF (SMH) is up 84% this year, and the fund has advanced 15% in the past month.

Nvidia has sat on the sidelines as Wall Street has focused on memory chips and infrastructure in the next steps of the AI buildout. This has been driving gains for companies like Micron Technology and Sandisk , both up nearly 60% in the past month alone.

As shares of Nvidia have been languishing, the price of computing power for the company's B200 chip has also dropped. Nvidia's B200 is the company's flagship graphics processing unit or GPU that helps run data centers at a massive scale.

B200's compute per hour price climbed to $6.11 on May 30, the highest within the past three months, according to Ornn, which provides live GPU compute prices across major hardware types. Since that day, the dashboard shows B200 compute per hour price declining, sitting at $4.22 as of June 21.

Most companies rent access for GPUs through cloud providers or neoclouds, another growing ecosystem. However, the cost to rent GPUs can fluctuate as demand for AI infrastructure grows.

"A lot of people don't know how much computing power they'll need in the next year, and a lot of suppliers of that computing power right now don't know how many GPUs and to what capacity they should order," Seoyoung Kim, a finance professor at Santa Clara University, previously told CNBC. "And the manufacturers, like Nvidia, they don't know how much they should produce."

Earlier this month, Google agreed to pay SpaceX $920 million a month to rent AI computing capacity from October 2026 through June 2029. In doing so, Google will use roughly 110,000 Nvidia GPUs, CPUs, memory and other related components. After the deal, RBC Capital Markets was bullish on Nvidia's performance for the second half of 2026 and 2027, saying the chip giant "looks best positioned among peers."

"Regardless of the precise rationale, these GPU rental agreements should put to rest lingering concerns about NVDA losing share to [application-specific integrated circuits], at least in the short term," the analysts wrote.

— CNBC's Yun Li contributed to this story.

Disclosure: CNBC and Kalshi have a commercial relationship that includes customer acquisition and a minority investment.

ما الذي يجب مراقبته

توقعات الذكاء الاصطناعي — احتمالات وليست حقائق

  • Nvidia's GPU rental agreements will alleviate concerns about losing market share to ASICs in the short term.

    مرجح · المدى القصير

أسئلة مفتوحة

  • Will Nvidia's stock recover in the short term?
  • How will the Google-SpaceX deal impact future GPU rental markets?
  • What is the long-term impact of ASICs on Nvidia's market share?

مواضيع ذات صلة

This article was originally published by CNBC.

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