Connect with us

News

Tesla’s in-house Full Self-Driving chip puts TSLA 4 years ahead of competition: analyst

Elon Musk at Tesla's Autonomy Day FSD presentation. | Image: Tesla

Published

on

Tesla’s decision to develop its Full Self-Driving (FSD) computer chip in-house has put it four years ahead of the competition, according to ARK Invest analyst James Wang.

Wang laid out the case for the all-electric car maker’s custom automotive-grade computer against the next-best options in the market, all Nvidia products, in an article on ARK Invest’s website. His stated goal in the piece was to clarify Tesla’s position and achievement with full self-driving in simple terms as well as explain why an off-the-shelf chip would not have accomplished the same feat.

Admittedly, Tesla’s Autonomy Day livestream debuting the arrival of its Full Self-Driving computer was chock full of very technical details that many outside the computer science world indicated were difficult to follow. Thus, Wang’s FSD simplification is helpful for gaining insight into Tesla’s autonomous driving progress in terms of the bigger industry picture.

In summary, by focusing only on what its particular needs were for its particular software demands, Tesla was was able to improve its chip’s performance efficiency to a level that has allowed it to “leapfrog” over competitors. Wang predicts that by 2021, Tesla will be ready to release its next generation FSD computer while its closest competitor in terms of optimal peak utilization is just coming to market.

Nvidia is a prominent and highly successful leader in computer chip design, and Tesla already uses its products for Hardware 2.5, the computer currently running the electric car maker’s Autopilot features. That said, the industry giant has three self-driving-focused chips in its lineup: Xavier (in production), Pegasus (readying for production) and Orin (still pending an official announcement).

Advertisement

Pegasus is a Level 5 self-driving computer, as is Tesla’s FSD; however, it has twice as many chips as FSD, consumes seven times more power than FSD, and is too big and expensive for the Model 3. Since Nvidia designs chips for a wide range of hardware manufacturers, much like the Windows and Android operating systems are designed to be flexible enough for different computer and smartphone hardware suites, their functionality cannot be overly streamlined for one system over another. In contrast, Tesla (like Apple hardware/software) can focus all of its autonomy efforts on its specific hardware and software needs, thus achieving a greater output than Nvidia’s product.

Tesla’s Full Self-Driving computer. | Image: Tesla

In a follow up to Tesla’s Autonomy Day presentation wherein FSD was compared to Nvidia’s Xavier computer, a chip designed for semi-autonomous driving only, the chip manufacturer published a company blog piece drawing attention to Pegasus’ capabilities as a better measure for analysis. As pointed out in Wang’s analysis, the FSD and Pegasus still do not achieve the same metrics, leaving Tesla well positioned amongst its self-driving computer peers. Despite the issue, though, Nvidia’s conclusion was a positive response to the car maker’s achievement: Tesla has raised the bar on self-driving and other car manufacturers need to get on board before falling too far behind.

During the Autonomy Day presentation, Tesla CEO Elon Musk crowned FSD as “objectively best in the world”, and James Wang’s analysis is yet another outline of why that is arguably the case. Tesla’s Full Self-Driving Computer (formerly known as Hardware 3) is currently being installed in all new production vehicles, and owners who purchased Full Self-Driving for a car produced in 2016 or later will receive a free upgrade to the FSD computer in the near future. Musk has further predicted that Tesla’s full self-driving software will be complete by the end of this year and fully operational by the second quarter of next year.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

Advertisement
Comments

Investor's Corner

Tesla delivers 384,000 vehicles in Q2 2025, deploys 9.6 GWh in energy storage

The quarter’s 9.6 GWh energy storage deployment marks one of Tesla’s highest to date.

Published

on

Credit: Tesla

Tesla (NASDAQ: TSLA) has released its Q2 2025 vehicle delivery and production report. As per the report, the company delivered over 384,000 vehicles in the second quarter of 2025, while deploying 9.6 GWh in energy storage. Vehicle production also reached 410,244 units for the quarter.

Model 3/Y dominates output, ahead of earnings call

Of the 410,244 vehicles produced during the quarter, 396,835 were Model 3 and Model Y units, while 13,409 were attributed to Tesla’s other models, which includes the Cybertruck and Model S/X variants. Deliveries followed a similar pattern, with 373,728 Model 3/Ys delivered and 10,394 from other models, totaling 384,122.

The quarter’s 9.6 GWh energy storage deployment marks one of Tesla’s highest to date, signaling continued strength in the Megapack and Powerwall segments.

Credit: Tesla Investor Relations

Year-on-year deliveries edge down, but energy shows resilience

Tesla will share its full Q2 2025 earnings results after the market closes on Wednesday, July 23, 2025, with a live earnings call scheduled for 4:30 p.m. CT / 5:30 p.m. ET. The company will publish its quarterly update at ir.tesla.com, followed by a Q&A webcast featuring company leadership. Executives such as CEO Elon Musk are expected to be in attendance.

Tesla investors are expected to inquire about several of the company’s ongoing projects in the upcoming Q2 2025 earnings call. Expected topics include the new Model Y ramp across the United States, China, and Germany, as well as the ramp of FSD in territories outside the US and China. Questions about the company’s Robotaxi business, as well as the long-referenced but yet to be announced affordable models are also expected.

Advertisement
Continue Reading

News

Tesla China breaks 8-month slump by selling 71,599 vehicles wholesale in June

Tesla China’s June numbers were released by the China Passenger Car Association (CPCA) on Tuesday.

Published

on

Credit: Tesla Asia/X

Tesla China was able to sell 71,599 vehicles wholesale in June 2025, reversing eight consecutive months of year-over-year declines. The figure marks a 0.83% increase from the 71,599 vehicles sold wholesale in June 2024 and a 16.1% jump compared to the 61,662 vehicles sold wholesale in May. 

Tesla China’s June numbers were released by the China Passenger Car Association (CPCA) on Tuesday.

Tesla China’s June results in focus

Tesla produces both the Model 3 and Model Y at its Shanghai Gigafactory, which serves as the company’s primary vehicle export hub. Earlier this year, Tesla initiated a changeover for its best-selling vehicle, the Model Y, resulting in a drop in vehicle sales during the first and second quarters.

Tesla’s second-quarter China sales totaled 191,720 units including exports. While these numbers represent a 6.8% year-over-year decline for Tesla China, Q2 did show sequential improvement, rising about 11% from Q1 2025, as noted in a CNEV Post report.

For the first half of the year, Tesla sold 364,474 vehicles wholesale. This represents a 14.6% drop compared to the 426,623 units sold wholesale in the first half of 2024.

Advertisement

China’s competitive local EV market

Tesla’s position in China is notable, especially as the new Model Y is gaining ground in the country’s BEV segment. That being said, Tesla is also facing competition from impressive local brands such as Xiaomi, whose new YU7 electric SUV is larger and more affordable than the Model Y. 

The momentum of the YU7 is impressive, as the vehicle was able to secure 200,000 firm orders within three minutes and over 240,000 locked-in orders within 18 hours. Xiaomi’s previous model, the SU7 electric sedan, which is aimed at the Tesla Model 3, also remains popular, with June deliveries surpassing 25,000 units for the ninth straight month.

While China’s EV market is getting more competitive, Tesla’s new Model Y is also ramping its production and deliveries. Needless to say, Tesla China’s results for the remaining two quarters of 2025 will be very interesting.

Continue Reading

Elon Musk

Tesla reveals it is using AI to make factories more sustainable: here’s how

Tesla is using AI in its Gigafactory Nevada factory to improve HVAC efficiency.

Published

on

Credit: Tesla

Tesla has revealed in its Extended Impact Report for 2024 that it is using Artificial Intelligence (AI) to enable its factories to be more sustainable. One example it used was its achievement of managing “the majority of the HVAC infrastructure at Gigafactory Nevada is now AI-controlled” last year.

In a commitment to becoming more efficient and making its production as eco-friendly as possible, Tesla has been working for years to find solutions to reduce energy consumption in its factories.

For example, in 2023, Tesla implemented optimization controls in the plastics and paint shops located at Gigafactory Texas, which increased the efficiency of natural gas consumption. Tesla plans to phase out natural gas use across its factories eventually, but for now, it prioritizes work to reduce emissions from that energy source specifically.

It also uses Hygrometric Control Logic for Air Handling Units at Giafactory Berlin, resulting in 17,000 MWh in energy savings each year. At Gigafactory Nevada, Tesla saves 9.5 GWh of energy through the use of N-Methylpyrrolidone refineries when extracting critical raw material.

Perhaps the most interesting way Tesla is conserving energy is through the use of AI at Gigafactory Nevada, as it describes its use of AI to reduce energy demand:

“In 2023, AI Control for HVAC was expanded from Nevada and Texas to now include our Berlin-Brandenburg and Fremont factories. AI Control policy enables HVAC systems within each factory to work together to process sensor data, model factory dynamics, and apply control actions that safely minimize the energy required to support production. In 2024, this system achieved two milestones: the majority of HVAC infrastructure at Gigafactory Nevada is now AI-controlled, reducing fan and thermal energy demand; and the AI algorithm was extended to manage entire chiller plants, creating a closed-loop control system that optimizes both chilled water consumption and the energy required for its generation, all while maintaining factory conditions.”

Tesla utilizes AI Control “primarily on systems that heat or cool critical factory production spaces and equipment.” AI Control communicates with the preexisting standard control logic of each system, and any issues can be resolved by quickly reverting back to standard control. There were none in 2024.

Tesla says that it is utilizing AI to drive impact at its factories, and it has proven to be a valuable tool in reducing energy consumption at one of its facilities.

Continue Reading

Trending