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NVIDIA
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Updated Sep 3, 2026
NVIDIA to acquire Hugging Face for $11.9B, consolidating open-source AI model platform under GPU vendor control.
NVIDIA announced a definitive agreement to acquire Hugging Face for approximately $11.9 billion in cash plus up to $1.0 billion in equity-based retention for employees, expected to close in H1 2027. The transaction signals NVIDIA's strategic pivot from pure GPU supply to owning the infrastructure layer for open-source model development and distribution, directly competing with alternative vendor ecosystems. The filing introduces a material new regulatory risk: government restrictions on open-source AI model availability, particularly those with non-U.S. origins, could constrain Hugging Face platform utility and undermine NVIDIA's post-acquisition value realization.
Tone: bullishRevenue
$215.9B
NVDA 10-K · FY 2026
Employees
42,000
Revenue growth YoY
+65%
Founded
1993
Profile
NVDA 10-K Item 1 · Feb 25, 2026NVIDIA is a data center scale AI infrastructure company that pioneered accelerated computing. Its technology stack spans GPUs, CPUs, DPUs, networking, and a deep software ecosystem anchored by the CUDA platform. The company serves four primary markets: Data Center, Gaming, Professional Visualization, and Automotive.
Read filing description ↓ Collapse description ↑
NVIDIA pioneered accelerated computing to help solve the most challenging computational problems. NVIDIA is now a data center scale AI infrastructure company reshaping all industries. Our technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits, or SDKs, and application programming interfaces, or APIs. This deep and broad software stack accelerates the performance and facilitates the deployment of NVIDIA accelerated computing for computationally intensive workloads such as artificial intelligence, or AI, model training and inference, data analytics, scientific computing, robotics, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing. Introduced with the Blackwell architecture, our data-center-scale offerings feature extreme co-design where the infrastructure's chips, networking, systems, software, and algorithms are holistically architected and optimized to maximize performance and scale. Hundreds of thousands of GPUs can be interconnected to function as a single giant computer. We have a platform strategy, bringing together hardware, systems, software, algorithms, libraries, AI models and training data sets, and services to create unique value for the markets we serve. All major cloud service providers, AI model makers, and enterprises use our data center-scale infrastructure and computing platforms to accelerate the services and offerings they deliver to billions of end users and customers. We report our business results in two segments: Compute & Networking, and Graphics.
Primary products
- NVIDIA CUDA development platform
- GeForce RTX GPUs
- NVIDIA RTX PRO GPUs
- Quadro/NVIDIA RTX GPUs
- Grace CPU
- Blackwell GPU architecture
Business segments
End markets
Geographies
Named customers
A significant amount of our revenue stems from a limited number of partners and distributors and we have a concentration of sales to customers who purchase directly or indirectly from us, and our revenue could be adversely affected if we lose or are prevented from selling to any of these customers.
Named competitors
“NVIDIA powers over 78% of the supercomputers on the global TOP500 list, including 9 of the top 10 systems on the Green500 list.” Competitive position, as stated in the filing
Revenue commentary · FY 2026
Revenue for fiscal year 2026 was $215.9 billion, up 65% from a year ago, driven by Data Center compute and networking platforms for accelerated computing and AI solutions.
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