Nvidia Stock Moves Lower as Einride Scales Physical AI

Goldman Sachs reports AI infrastructure stocks' valuations have dropped to 22x earnings, down from 32x in April, amid spending estimates reaching $1.1T by 2027. Memory chip stocks trade at 4x earnings, while chip designers show more stable margins. Goldman maintains Buy ratings on Nvidia (NVDA) and Broadcom (AVGO), Neutral on Micron (MU). Cloud providers' spending may reach $800B in 2024, requiring $300B in annual AI revenue to break even by 2026-2027.

NVIDIA (NVDA) and Texas Instruments (TXN) both sell chips for data centers, but NVIDIA's revenue is more concentrated in this area. NVIDIA's Q2 2027 data center revenue was $89B, with Q3 guidance at $108B. TI's Q2 revenue was $5.5B, with Q3 guidance between $5.65B and $6.15B. NVIDIA faces supply constraints, while TI has spare capacity. NVIDIA's gross margin is expected to decline to 71-72% by Q4. NVIDIA leads in growth, profit margins, and debt metrics.

Nvidia NVDA shares rose 1% after SpaceX announced plans to add 660,000 Nvidia GB300 processors to its Colossus 2 facility by year-end. SpaceX also has a deal with Anthropic for 325,000 Nvidia GPUs, with $1.25B monthly payments post-ramp. The expansion highlights AI computing infrastructure growth across Musk's businesses.

Elon Musk's xAI plans to more than double its Nvidia chip capacity by year-end, with Colossus 2 potentially reaching 1.21 million GB200 and GB300 chips. Current expansion includes 220,000 GB300s operational next week, followed by another 220,000 in November, and possibly 220,000 more by December. This highlights strong demand for Nvidia's latest AI hardware.

Nvidia (NVDA) selected IonQ's (IONQ) Superion 256 quantum computer for its research center, expanding its quantum computing efforts. Nvidia reported $178B revenue and $118B net income for H1 2027, with a $5.4T market cap. IonQ, a quantum computing startup, saw revenue rise to $145M in H1 2026 but reported losses of $1.1B. The partnership lends IonQ legitimacy while Nvidia diversifies into quantum computing.

Big Tech companies are facing challenges in securing reliable electricity for their expanding AI infrastructure, with demand projected to surge over 1,100% by 2033. Companies like Amazon, Meta, and Oracle are investing heavily in data centers and power infrastructure, while also committing to cover grid-upgrade costs. Oracle's Project Jupiter highlights financial risks due to power-delivery delays. Amazon and Meta are spending on backup generation and new power plants, respectively.