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Tesla Using Nvidia's GPU


Tesla CEO Elon Musk has said that the company is using so much Nvidia hardware to power its self-driving training systems that the chipmaker can't keep up with its demand.

In a tweet on July 19, 2023, Musk said that Tesla is "using massive amounts of Nvidia A100s for training our DNNs [deep neural networks] for self-driving." He added that Nvidia is "doing the best it can, but they are swamped with orders."

Nvidia's A100 is a high-end graphics processing unit (GPU) that is designed for data center workloads. Tesla uses A100 GPUs to train its self-driving neural networks, which are used to process data from the company's fleet of self-driving cars.

The demand for Nvidia GPUs is high from a variety of industries, including artificial intelligence (AI), machine learning, and data analytics. Nvidia is facing supply constraints, which is limiting the company's ability to meet demand.

Tesla is not the only company that is using Nvidia GPUs for self-driving cars. Other companies that are using Nvidia GPUs for self-driving cars include Waymo, Cruise, and Aurora.

The demand for self-driving cars is growing, and the need for high-performance GPUs is also growing. Nvidia is well-positioned to meet this demand, but the company will need to expand its production capacity in order to keep up with demand.

Here are some additional thoughts on the relationship between Tesla and Nvidia:

  • Tesla and Nvidia have a close relationship. Tesla is a major customer of Nvidia, and Nvidia is a major supplier of GPUs to Tesla.

  • Tesla is using Nvidia's A100 GPUs to train its self-driving neural networks. The A100 GPUs are designed for data center workloads, and they are well-suited for the demanding requirements of self-driving car training.

  • Nvidia is facing supply constraints, which is limiting the company's ability to meet demand. Tesla is one of the companies that is affected by Nvidia's supply constraints.

  • The demand for self-driving cars is growing, and the need for high-performance GPUs is also growing. Nvidia is well-positioned to meet this demand, but the company will need to expand its production capacity in order to keep up with demand.

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