NVIDIA Co-Invests in Dedicated Samsung Electro-Mechanics Lines to Lock In Korean AI Chip Supply

SpaceX announced plans to bring 200,000 Nvidia GB300 chips online monthly, aiming to finance this through GPU-backed loans. Nvidia's CEO, Jensen Huang, supports this idea, suggesting it could secure loans for customers. SpaceX seeks $40B in loans, potentially using Nvidia chips as collateral. Nvidia is also a SpaceX shareholder with a stake worth $21B. Nvidia's stock closed at $221.97, up 2.54%, amid broader chip stock rallies.

Vertiv (VRT) and Nvidia developed a method to reduce AI data center power and cooling setup time from 120 to 48 days. Vertiv estimates this could boost AI token output by 30% in the first year. VRT shares rose 4% to $212.51 on Oct. 21. The approach is being tested in a 41-megawatt Norway project. Vertiv's Q3 earnings report is scheduled for Oct. 28.

Nvidia (NVDA) shares fell 3.8% to $213.51 after introducing DSX POD, a modular AI-factory design aimed at reducing deployment time from six months to 14 days. Partners include Dell, HPE, and Lenovo, with deliveries expected in early 2027. GuruFocus notes strong fundamentals but warns of valuation concerns.

QumulusAI (QMLS) expanded its equipment lease financing with Tech Finance Co. to $123.6M for NVIDIA Blackwell GPUs, up from $26M in May 2026. The 3-year leases cover GPU purchases for AI infrastructure, with TFC funding 85-90% of costs. QumulusAI avoids equity dilution and retains flexibility to acquire or return equipment at lease end.

Meta Platforms and other AI-focused companies saw significant stock declines after Meta announced plans to raise funds through new shares to support AI spending. Meta's shares fell 8%, its largest drop since July, while Nvidia and SpaceX also declined. The Nasdaq Composite was on track for its largest decline in four months. Concerns over the return on investment and rising costs of AI infrastructure are weighing on investor sentiment.

Mercedes-Benz and NVIDIA are expanding their partnership to develop advanced driver assistance systems and automated driving technologies over the next decade. They will combine Mercedes-Benz's automotive expertise with NVIDIA's AI and computing capabilities, focusing on SAE Level 4 automation and automated luxury robolimousines. The collaboration will utilize NVIDIA's Hyperion architecture and Mercedes-Benz's MB.OS operating system, aiming to enhance safety and driving capabilities.