Nvidia is reportedly considering a residual value guarantee to back Nscale's Anthropic data center in West Virginia, effectively co-signing loans and taking control if construction stalls. The move could deepen Nvidia's ties to major AI customers and support demand for Vera Rubin chips, but it raises credit risk tied to Nscale and Anthropic's IPO trajectory.
Anthropic's S-1 reveals AI compute is managed as a fungible pool across four chip families, including Nvidia GPUs, Google's TPUs, Amazon Trainium, and AMD GPUs. Analysts say this could curb Nvidia's pricing power as large customers gain leverage. Near-term impact is uncertain, but broader adoption of multi-platform compute could gradually dilute Nvidia's dominance.
NVDA remains central in AI hardware as Counterpoint forecasts Nvidia as the leading humanoid AI accelerator supplier, with shipments potentially surpassing 1 million by 2030 (144% CAGR). Although competition may rise after 2027, NVDA benefits from its hardware, models and simulation tools and ongoing partnerships. With earnings due Nov 18 and notable ETF exposure, the stock may pause near term but long-term AI demand supports upside.
NVIDIA Vera Rubin NVL72 and Vera CPUs are now generally available on Oracle Cloud Infrastructure, signaling growing enterprise cloud adoption for advanced AI workloads. The plan to introduce HGX Rubin NVL8 systems targets faster frontier model training and improved inference efficiency. This collaboration could broaden NVIDIA's data-center footprint and lift demand for its accelerator technologies in the near term.
Investor Nancy Tengler argues Nvidia can double over 5–10 years even as earnings growth slows to 20–30%. She contrasts this with Azure’s resilience to deceleration, suggesting large tech firms can still deliver meaningful upside while expanding earnings. The key lever for Nvidia remains durable data-center demand and AI infra spending, which could justify a re-rating despite slower growth.
Stellantis announced a collaboration with Wayve and Nvidia to accelerate autonomous driving in France and the EU, leveraging Nvidia Halos OS on the Hyperion compute and sensor stack. The effort aims to anchor an ecosystem from silicon to finished vehicles and could boost Nvidia's auto AI software and hardware demand while signaling regulatory support for faster deployment in Europe.