Tesla's New AI Chip: A Strategic Partnership with Samsung and TSMC, Not a Replacement for Nvidia

By Cygnus | 23 Oct 2025

Image source: generated by AI tool

Tesla is significantly advancing its hardware ambitions with the introduction of a new in-house AI chip, the AI5, slated for production by two of the world’s leading semiconductor manufacturers: Samsung and Taiwan Semiconductor Manufacturing Company (TSMC). During Tesla’s third-quarter earnings call on October 22, CEO Elon Musk confirmed that the AI5 will be manufactured at Samsung’s facility in Texas and TSMC’s site in Arizona.

Musk articulated Tesla’s proactive strategy to ensure a robust supply, stating, “Our goal is to have an oversupply of AI5 chips.” He further elaborated that any surplus chips beyond what's needed for Tesla vehicles and its humanoid robot program will be strategically deployed in Tesla’s expanding network of data centers.

While Tesla initially relied on Nvidia’s Drive processors, the company began its pivot to proprietary chips in 2019. Addressing potential misconceptions about competing with Nvidia, Musk clarified, “We’re not replacing Nvidia, but we use both in combination.” He emphasized that Tesla continues to leverage Nvidia GPUs for training its sophisticated artificial intelligence models, highlighting Tesla's substantial computing infrastructure, which is equivalent to approximately 81,000 Nvidia H100 chips.

Strengthening the U.S. Chip Supply Chain and Driving Innovation

The AI5 chip, announced earlier in 2024, represents the pinnacle of Tesla’s self-driving hardware evolution. It is engineered to power the company’s advanced Autopilot and Full Self-Driving (FSD) systems by efficiently processing vast quantities of sensor and vision data. The scale of this endeavor was hinted at when Samsung disclosed a $16.5 billion contract with an unnamed customer earlier this year, subsequently confirmed to be Tesla. Musk also revealed that the forthcoming AI6 chip will continue to be produced by Samsung, underscoring the long-term nature of this partnership.

By distributing AI5 production between Samsung and TSMC, Tesla is not only diversifying its supply chain but also strategically deepening its semiconductor manufacturing footprint within the U.S. The AI5 is notably designed to be physically smaller than many contemporary AI chips, utilizing what Musk described as a "half-reticle" format—a compact design aimed at boosting efficiency and yield rates.

Tesla Joins the Elite Custom Silicon Race

Musk highlighted the distinct advantage of Tesla’s in-house design philosophy, stating, “Tesla only has to satisfy one customer—ourselves. That makes the design job radically easier.” This focused approach has enabled the company to strip away legacy components, such as GPUs and signal processors, potentially giving the AI5 "the best performance per dollar for AI—maybe by a factor of 10," according to Musk.

This strategic move firmly positions Tesla alongside tech titans like Google, Amazon, and Microsoft, all of whom have developed proprietary AI chips to lessen their dependence on third-party providers like Nvidia. Within the automotive sector, Tesla remains unique as the only automaker designing its own AI silicon. More broadly, Apple stands as the sole major consumer electronics firm to design chips for both its devices and its data centers.

Meanwhile, Elon Musk’s separate AI venture, xAI, continues its significant reliance on Nvidia, operating as a large customer. xAI is currently constructing a formidable supercomputing facility in Memphis, Tennessee, powered by Nvidia’s latest Grace Blackwell processors. This dual strategy within Musk's ecosystem—leveraging both custom and third-party chips—demonstrates a pragmatic approach to maximize flexibility and performance across diverse AI applications.

Summary:

Tesla’s advanced AI5 chip, developed in partnership with Samsung and TSMC, marks a significant stride toward greater semiconductor independence and enhanced control over its AI roadmap. While not replacing Nvidia, this strategic move underscores Tesla’s increasing sophistication in chip design and its unwavering commitment to building a tailored AI infrastructure for its vehicles, humanoid robots, and data centers. This initiative has the potential to subtly but profoundly reshape the competitive landscape of the global chip industry.

 

Frequently Asked Questions (FAQs)

1. What is Tesla’s new AI5 chip?

The AI5 chip is Tesla’s latest in-house artificial intelligence processor, designed to power its Autopilot, Full Self-Driving (FSD), and robotics programs. It aims to deliver higher performance and energy efficiency than previous Tesla chips.

2. Who will manufacture Tesla’s AI5 chip?

Tesla has partnered with Samsung Electronics and Taiwan Semiconductor Manufacturing Company (TSMC) to produce the AI5 chip. Samsung will manufacture it in Texas, while TSMC will handle production at its Arizona facility.

3. Is Tesla planning to replace Nvidia with its own chips?

No. Elon Musk clarified that Tesla will continue using Nvidia GPUs for AI training and data-center operations while relying on its own AI5 chips for vehicles and robots. Tesla uses both systems in combination.

4. Why is Tesla producing more chips than it currently needs?

According to Musk, Tesla aims to maintain an oversupply of AI5 chips to avoid future shortages and to deploy extra chips in its data centers, supporting the company’s growing AI infrastructure.

5. How does the AI5 chip differ from Nvidia’s chips?

Tesla’s AI5 is a custom-designed, smaller chip optimized for Tesla’s specific AI workloads. Musk claimed it could deliver the best performance per dollar for AI applications, potentially outperforming comparable chips in cost efficiency.

6. What is the significance of Samsung and TSMC’s involvement?

Partnering with both companies allows Tesla to diversify its supply chain and strengthen U.S.-based chip manufacturing, reducing dependency on overseas facilities and improving production stability.

7. What will the AI5 chip be used for?

The AI5 will primarily power Tesla vehicles, humanoid robots (Optimus), and Tesla data centers. It plays a key role in enhancing self-driving performance and supporting large-scale AI computations.

8. What comes after the AI5 chip?

Elon Musk confirmed that the next-generation AI6 chip is already in development and will also be produced by Samsung, signaling Tesla’s long-term commitment to custom silicon.

9. How does Tesla’s chip strategy compare to other tech giants?

Tesla now joins the ranks of Google, Amazon, and Microsoft, which are developing proprietary AI chips to reduce reliance on Nvidia. In the automotive industry, Tesla is currently the only automaker designing its own AI silicon.

10. How does xAI fit into Tesla’s chip strategy?

xAI, Musk’s separate AI company, still uses Nvidia’s latest GPUs for training and data processing. It complements Tesla’s in-house efforts by building AI systems and supercomputing infrastructure powered by Nvidia hardware.

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