Nvidia reported record quarterly revenue of $96.2 billion, representing a 106% year-over-year increase, alongside adjusted diluted EPS of $2.22, which grew 113% year-over-year. Growth was led by the Data Center segment, which generated $89.0 billion in sales as hyperscalers, sovereign AI projects, and enterprise clients expanded generative AI compute capacity.
Note: Nvidia's FY'26 ended on January 25, 2026. Q2 FY'26 ended on July 26, 2026.
Nvidia officially began initial shipments of its next-generation Vera Rubin computing platform in August 2026. Designed to succeed Blackwell, the platform features higher interconnect bandwidth and extreme-scale inference capabilities, with management projecting it to account for roughly 20% of data center revenue in the third quarter.
Below are key drivers of Nvidia's value that present opportunities for upside or downside to the current Trefis price estimate:
For additional details, select a division from the interactive Trefis split for Nvidia at the top of the page.
Nvidia designs high-performance graphics processing units, system-on-chip units, and full-stack accelerated computing platforms for the data center, gaming, professional visualization, and automotive markets.
The Data Center segment represents the primary engine of Nvidia's market valuation due to its high gross margins and ecosystem lock-in.
Nvidia maintains a dominant moat through CUDA, its proprietary parallel computing platform, which locks in software developers and optimizes deep learning workloads exclusively for Nvidia hardware platforms.
The integration of Quantum InfiniBand and Spectrum-X Ethernet solutions enables Nvidia to offer end-to-end data center solutions, optimizing data transfer speeds across thousands of interconnected GPUs.
Nvidia continues to hold a commanding market share in consumer graphics cards, driven by ray-tracing technology and Deep Learning Super Sampling software enhancements.
Global transition from general-purpose computing to accelerated computing is accelerating, driving massive capital investments toward GPU-centric architecture across cloud service providers.
Nations and regional entities are increasingly investing in national compute clusters to build domain-specific custom artificial intelligence models locally.