Nvidia Reports Record Q3 Revenue of $35B as AI Chip Demand Remains Insatiable

Microsoft released two new in-house AI models, MAI-Image-2.5-Pro and MAI-Voice-2-Flash, into public preview, claiming production deployments across its product suite show GPU cost reductions of up to 89% compared with OpenAI models. The announcement represents Microsoft's most concrete argument yet that it can power enterprise products with proprietary models rather than relying on third-party frontier models. Both models are now running in production across Bing, PowerPoint, OneDrive, Dynamics 365, Excel, GitHub Copilot, and Azure.

AMD announced a new Helios rack-scale AI system designed to compete with Nvidia's offerings in the data center market. The system will begin shipping to customers later in 2026. This move represents AMD's effort to capture share in the high-demand AI infrastructure segment where Nvidia currently dominates.

Nvidia is deploying GPUs to lunar missions, extending the company's hardware reach beyond Earth-based data centers and AI applications. The move signals Nvidia's strategy to position its processors as essential infrastructure across multiple domains, including space exploration. Details on specific missions, timelines, and technical specifications are limited in available reporting.

Etched, a startup founded by three Harvard dropouts, has raised funding at a $10.3 billion valuation by developing chips and memory components designed to accelerate AI model inference without requiring GPUs. The company claims its hardware can speed up inference across any AI model. The funding round attracted backing from major investors, signaling confidence in the alternative chip approach to AI acceleration.