Nvidia Shares Climb as CEO Jensen Huang Touts AI Chips as Revenue-Generating Assets
Yahoo Finance ·
Nvidia CEO Jensen Huang championed the company’s computing infrastructure as a productive, revenue-generating asset amid rising rental prices for older H100 GPUs. According to Huang, OpenAI’s GPT-6 Astra was trained using over 100,000 Nvidia Grace Blackwell GPUs, with an additional 400,000 units on the horizon. Year-to-date, Nvidia shares have gained 23.7%, trailing the 73% rally seen in the iShares Semiconductor ETF. Meanwhile, rental rates for three-year-old H100 chips climbed 22% over the past month to reach $3.28 per hour, challenging traditional depreciation models. In corporate developments, Nvidia recently agreed to acquire Hugging Face for $12.9 billion and is reportedly in discussions to invest approximately $2.5 billion in Thinking Machines Lab. NVDA stock ticked up 1% in overnight trading, extending a three-session winning streak that lifted the equity over 6.5%.
AI 시장 분석
NVIDIA CEO Jensen Huang announced a 22% increase in H100 GPU rental prices, emphasizing the company's chips as revenue-generating assets. He also mentioned that OpenAI's GPT-6 Astra was trained using over 100,000 Grace Blackwell GPUs, confirming strong demand for AI infrastructure. Driven by these remarks and large-scale investments, NVIDIA shares rose in after-hours trading. Investors are focusing on the revaluation of AI hardware's economic value and the sustainability of future demand.
상승 영향
- AI — H100 rental rates rose by 22% and OpenAI trained its model with over 100,000 NVIDIA GPUs, directly proving the demand and profitability of AI hardware.
- Semiconductors — CEO Jensen Huang defined NVIDIA chips as revenue-generating assets and signaled the adoption of an additional 400,000 GPUs, raising earnings expectations across the semiconductor supply chain.
DYAX 전담 분석
As NVIDIA chips are being revalued from mere depreciating assets into revenue-generating infrastructure, the valuation appeal of the semiconductor and AI sectors is coming to the spotlight. In particular, the rise in H100 rental rates and large-scale infrastructure deployments utilizing over 100,000 GPUs act as direct tailwinds for earnings growth.
While ongoing additional GPU demand due to future AI model advancements could expand the upward momentum in stock prices, high valuation burdens and doubts about AI investment profitability remain risk factors. Key monitoring indicators are the trends in GPU rental prices and the scale of AI CAPEX by major big tech companies.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
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