The milestone marks an extraordinary ascent for the California-based firm, which has evolved from a niche graphics processor maker to the defining infrastructure provider of the AI era.

Nvidia’s stock has climbed nearly 50% year-to-date, driven by relentless demand for its Blackwell-based chips and expanding partnerships across data centres, robotics, and cloud computing.

The latest rally follows comments from CEO Jensen Huang, who revealed the company expects to receive $500 billion in AI chip orders over the coming year and will build seven new AI supercomputers for the U.S. government, further cementing Nvidia’s role at the core of national-scale compute infrastructure.

It also comes on the heels of a $1 billion strategic alliance with Nokia, announced on Tuesday.

Blackwell architecture redefines compute at scale

Nvidia’s Blackwell GPU architecture, unveiled earlier this year, continues to underpin the firm’s dominance in AI and high-performance computing. The technology now powers a growing ecosystem, from enterprise data centres and public cloud infrastructure to robotics platforms and quantum research labs.

Recent launches include:

• Jetson AGX Thor, an edge AI and robotics platform offering 7.5× the performance of its predecessor, Orin, and designed to accelerate “physical AI” in sectors such as logistics, manufacturing, and healthcare.
• RTX PRO Servers, enabling enterprises and data centre operators to transform existing infrastructure into AI-ready facilities. Early adopters include Disney, Foxconn, SAP, TSMC, and Hyundai.
• Spectrum-XGS Ethernet, a networking innovation designed to link geographically distributed data centres into unified AI “super-factories”, optimising latency and throughput across continents.

Together, these systems are creating what Huang has called a “new industrial platform for intelligence”, blurring lines between compute, connectivity, and application layers.

Global AI capacity expands across sectors

The momentum extends well beyond the United States. Nvidia recently announced partnerships in South Korea with LG and Hyundai and continues to expand collaborations with hyperscalers and telecoms operators globally.

Meanwhile, its collaboration with Oracle and the U.S. Department of Energy on the Solstice and Equinox supercomputers, featuring over 110,000 Blackwell GPUs, positions the firm at the heart of the world’s largest scientific AI deployments.

The company is also investing in AI education and talent pipelines, pledging $25 million for K–12 initiatives and continuing its $125 million higher education program to ensure a steady flow of skilled AI professionals into the ecosystem.

A new benchmark for AI-driven market capitalisation

Crossing the $5 trillion mark would not only redefine Nvidia’s position among U.S. tech titans, surpassing Apple, Microsoft, and Alphabet, but also signal a broader shift in how markets value infrastructure at the intersection of compute and connectivity.

As global carriers, cloud providers, and governments race to build capacity for AI workloads, Nvidia’s hardware, networking, and software platforms have become the backbone of the emerging AI economy.

In Huang’s own words: “We’re witnessing the next industrial revolution, and this time, the factories are data centres.”

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