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Tesla’s streamlining efforts are a secret weapon against rival automakers

(Credit: ABK Tesla/Instagram)

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Tesla’s rise over the years from an upstart electric sports car maker to the world’s most valuable automaker by market cap is remarkable. Tesla’s lead in the electric vehicle sector continues to grow technology-wise, and the company is also catching up to the world’s veteran carmakers when it comes to its business.

Tesla, for example, has accelerated the timeline for turning cash into product and back to cash, allowing the company to commit more of its resources for investments in its upcoming projects. Tesla’s net profit increased over sevenfold in the year ending in the January to March quarter to $3.3 billion. That’s not far behind Toyota, which posted $3.93 billion. 

As noted in a Nikkei Asia report, Tesla’s cash conversion cycle fell to minus 15 days in fiscal 2021. This was the first time that Tesla entered the negative territory since starting the mass production of the Model S back in 2012. Automakers typically require a large amount of working capital on hand to operate. Nikkei noted that a negative cash cycle eliminates this need, as it allows the company to invest its money instead. 

Tesla production workers install seats to the structural battery pack at Gigafactory Texas. (Credit: Tesla Inc.)

Tesla’s cash conversion cycle of minus 15 days is quite a rare feat. Even auto juggernaut Toyota has a cash conversion cycle of 31 days, while Volkswagen has a cycle of 74 days excluding financial operations. Ryosuke Izumida, an analyst at financial services provider Monicle, noted that Tesla is extremely efficient at collecting revenue.

“It almost runs like a built-to-order business, with cash already on hand before starting production,” Izumida said. 

What is quite remarkable is that Tesla tends to not sit on its laurels, with the company improving its cash cycle even further by cutting its inventory turnover to 45 days. This became possible through an aggressive streamlining of parts and its vehicles’ assembly process. As a result, Tesla posted a gross profit margin of 26.5% for its automobiles in fiscal 2021. In comparison, Toyota logged 16.7%, while Volkswagen posted 18.7%. 

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Tesla’s streamlining efforts are not only reflected in the company’s financials. The design of the company’s vehicles themselves is optimized for streamlining as well. The Model 3 and Model Y, which comprise over 90% of Tesla’s total vehicle production, features a minimalist interior centered on a massive touchscreen that replaces traditional meters and buttons. 

(Credit: Tesla)

Nikkei noted that Tesla’s electric cars, thanks to their streamlined design, require far fewer electronic control units (ECUs), which are responsible for steering and stopping vehicles. Typical vehicles utilize about 50 to 70 ECUs, and luxury cars could have about 100. Since Tesla uses fewer components, the need for wiring decreases, saving weight and production costs. 

The company’s use of megacasts from the company’s custom Giga Press machines also allows Tesla to build complex components in one casting. Conventional electric cars are estimated to require about 20,000 parts, while gasoline-powered cars require about 30,000. Tesla, however, is believed to have reduced this number further to just about 10,000 parts per vehicle. 

Electric vehicles are becoming more mainstream, but it will not be easy to overtake Tesla. More than its sleek cars and rockstar CEO, Tesla’s secret weapon against upcoming rivals is its aggressive streamlining — from its business strategies to the smallest components of its premium electric cars.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

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Credit: xAI/X

xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters. 

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

xAI’s turbine deal details

News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.

As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X. 

xAI’s ambitions 

Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”

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The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. 

xAI announced the investment round in a post on its official website. 

A $20 billion Series E round

As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. 

Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”

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xAI’s core mission

Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.

xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5. 

“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote. 

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