Since 2025, NVIDIA has consistently hit record-high market capitalization driven by the commercial boom of its Blackwell architecture AI chips. According to the latest Q3 earnings report, the company’s total revenue reached 57.01 billion, exceeding expectations, with data center operations contributing 51.2 billion—accounting for nearly 90% of total revenue. Beyond fueling NVIDIA’s growth in both volume and pricing, Blackwell has reshaped the global AI industry’s value chain and emerged as a cornerstone infrastructure for the digital economy transition

Blackwell Architecture as NVIDIA’s Core Driver
(AI chips will significantly improve computing power. Igor Omilaev/Unsplash)

Dual Growth in Revenue and Market Cap: Blackwell Takes Center Stage.Blackwell-series chips now account for over 80% of NVIDIA’s high-end GPU shipments, with the Blackwell Ultra selling out immediately upon launch and cloud GPUs facing widespread supply shortages. Leveraging the architecture’s performance advantages, the company achieved a non-GAAP gross margin of 73.6% in Q3 and projects Q4 revenue to hit $65 billion. The strong results drove a post-earnings after-hours stock surge of over 5%, as the market cap growth essentially reflects investors’ revaluation of NVIDIA’s core edge in AI computing power

Industry Catalyst: Reshaping the AI Supply Chain Ecosystem.Blackwell’s explosive demand has spurred synergistic growth across the entire value chain. Upstream, TSMC’s 4NP process faces tight capacity, prompting NVIDIA to increase wafer orders to secure supply. Midstream, server manufacturers like Super Micro Computer and Quanta Computer have seen gross profit margins rise by 8-10 percentage points thanks to Blackwell-optimized systems. Downstream, cloud providers including AWS and Google Cloud have reported significant year-over-year growth in AI-related revenue, with notably higher ARPU (Average Revenue Per User). The architecture’s FP4 precision technology has cut inference costs by 25x, accelerating AI adoption among small and medium-sized enterprises.

Growth Potential Amid Key Risks.Sustained growth will be driven by capacity expansion at TSMC’s Arizona fab, the expansion of generative AI use cases, and AI infrastructure initiatives in over 60 countries worldwide. However, key risks persist, including competition from AMD in next-generation architectures, fluctuations in TSMC’s 3nm process yields, and potential geopolitical headwinds. With mass production of the Blackwell Next architecture slated for 2026, NVIDIA is poised to further solidify its leading position in AI computing power and advance the commercialization of the global AI industry.