Observed Signal · Jun 22, 2026 · Market Movement · Source: CNBC Investing · Impact: 2/5 · Sentiment: Negative
Nvidia Shares Slip as Kalshi Bets Chip Prices Fall
Nvidia shares have lagged broader semiconductor gains in 2026, rising about 12% year-to-date while the VanEck Semiconductor ETF (SMH) climbed roughly 84%. Market interest has shifted toward memory chips and AI infrastructure, boosting peers like Micron and Sandisk. Prediction-market platform Kalshi shows traders are betting that the compute price for Nvidia’s flagship B200 GPU will not exceed its May 30 peak. Ornn’s dashboard reported B200 compute hourly pricing peaked at $6.11 on May 30 and declined to $4.22 by June 21. The article also notes large compute deals—Google will pay SpaceX $920 million per month from October 2026 through June 2029 and will use roughly 110,000 Nvidia GPUs and related components—while RBC Capital Markets remains bullish on Nvidia for H2 2026 and 2027.
Reports show declining GPU rental prices and market underperformance for Nvidia, which can influence AI infrastructure economics and GPU demand; notable large compute contracts (Google‑SpaceX) provide context but the story is primarily market sentiment rather than a platform policy or major product launch.
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Key Takeaways & Evidence Grounding
- Nvidia shares are up about 12% in 2026 but have fallen roughly 3% in the past month.
- The VanEck Semiconductor ETF (SMH) is up about 84% year-to-date and approximately 15% in the past month.
- Ornn reported Nvidia B200 compute-per-hour price peaked at $6.11 on May 30 and declined to $4.22 as of June 21.
- Kalshi traders are pessimistic that Nvidia B200 compute prices will surpass the May 30 high.
- Google agreed to pay SpaceX $920 million per month to rent AI computing capacity from October 2026 through June 2029, using roughly 110,000 Nvidia GPUs, CPUs, memory and related components.
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Nvidia stock jumps after blockbuster earnings
Nvidia shares rose about 6% in premarket trading after the company reported strong earnings and provided upbeat revenue guidance for fiscal 2028. CFO Colette Kress forecasted 70% revenue growth for fiscal 2028, while CEO Jensen Huang said demand likely exceeds that figure but supply constraints limit shipment. Nvidia said its AI Clouds, industrial, and enterprise (ACIE) customers generated $40.3 billion in sales for the quarter, up 138% year-over-year. Analysts noted supply issues at TSMC and memory shortages, and some flagged a potential competitive threat from custom AI chips being developed by hyperscalers and AI labs.
SpaceX Earnings Weigh on Stock; Nvidia Gains
SpaceX shares fell after the company reported second-quarter results and disclosed $18.4 billion in Q2 capital expenditures, which exceeded estimates. Nvidia shares rose more than 3% after Elon Musk said Nvidia would be SpaceX’s “exclusive” chipmaking partner for its AI infrastructure buildout. Analysts highlighted the potential scale of Nvidia demand if SpaceX’s comments are realized, with estimates discussing multi-gigawatt add-ons and large potential revenue for Nvidia in 2027. AMD also fell after reporting higher capex of $808 million in Q2. The market reaction reflects investor concern about hyperscalers' AI spending while chipmakers are rewarded for increased demand expectations.
Nvidia Victim of Its Own Compute Marketplace
TechCrunch analysis argues Nvidia’s recent stock weakness stems from shifts in the AI compute market the company helped create. Nvidia’s stock fell about 15% from its May peak even as revenue projections grow, while memory-focused companies like Micron have surged (nearly tripling) as DRAM became a bottleneck. Spot DRAM prices reportedly rose roughly tenfold since mid‑2025, while GPU spot prices for an Nvidia H100 peaked in May (~$3.20/hour) and have since fallen. Cloud providers and large AI buyers (Google, Amazon, Microsoft, OpenAI) are deploying custom accelerators that reduce dependency on Nvidia GPUs. Ornn co‑founder and CTO Wayne Nelms says more accelerator suppliers are entering compute markets, but DRAM supply remains constrained. The piece frames Nvidia’s predicament as a product of its own success: proving compute’s value invited competition and shifted where market value accrues.
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