Technology

Which Companies Own The Most Nvidia H100 GPUs?

Published

6 months ago

October 21, 2024

Kayla Zhu

Article/Editing:

Niccolo Conte

Graphics/Design:

Sabrina Lam

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Nvidia H100 GPU Units By Company

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As the demand for artificial intelligence skyrockets, companies across sectors are in a race to scale up their compute power, with billions being funneled into upgrading the infrastructure needed to support AI models.

Enter Nvidia’s H100 Tensor Core GPU, a top-of-the-line graphics processing unit designed specifically for artificial intelligence (AI) and high-performance computing (HPC) workloads.

This graphic visualizes the companies and organizations with the most Nvidia H100 GPUs using data from the 2024 edition of The State of AI Report, updated as of October 2024.

Meta Leads the Pack in H100 GPU Purchasing

Below, we show the number of Nvidia H100 GPUs various companies and organizations own, as of October 2024.

Company/Entity	H100 GPU Count	Type
Meta	350,000	Private cloud
XAI/X	100,000	Private cloud
Tesla	35,000	Private cloud
Lambda	30,000	Public cloud
Google A3	26,000	Public cloud
Oracle Cloud	16,000	Public cloud
Poolside	10,000	Public cloud
Magic	8,000	Public cloud
Andromeda	3,632	Private cloud
Scaleway	1,016	Private cloud
Hugging Face	768	Public cloud
DeepL	544	Private cloud
Recursion	504	Private cloud
Princeton	300	National HPC
Photoroom	256	Private cloud

Companies like Meta and Tesla have been purchasing thousands of H100 GPUs to power their ambitious AI plans. While Nvidia does not officially disclose the price of its H100 products, estimates have priced it between $30,000 to $40,000 each for its 80GB version.

Nvidia’s high-performance H100 GPUs have significantly contributed to the company’s growing revenues, particularly in the data center segment.

In January 2024, Mark Zuckerberg announced Meta’s plan to acquire 350,000 Nvidia H100 GPUs by the end of the year, significantly boosting the company’s AI computing capabilities.

This massive investment in hardware is aimed at supporting Meta’s efforts to develop advanced AI models, including artificial general intelligence (AGI), a theoretical branch of artificial intelligence where AI achieves “human-level learning, perception and cognitive flexibility.”

During Tesla’s Q1 2024 earnings call, CEO Elon Musk revealed that Tesla had 35,000 H100 chips, which it plans to use to develop several of its AI projects, including the Robotaxi and a supercomputer called Dojo.

Learn More on the Voronoi App

To learn more about the artificial intelligence industry, check out this graphic that shows venture capital investment’s surge into AI over the years.