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Tesla Model S, X with “Hardware 3” for Full Self-Driving now in production, inventory codes indicate
Tesla has begun producing Model X and Model S vehicles with the latest Autopilot hardware to support Full Self-Driving capabilities. Dubbed “HW3”, the new hardware is Tesla’s next iteration of its semi-autonomous driving-assist feature that includes Navigate on Autopilot, Advanced Summon, Auto Lane Change, Autopark, and the ability to respond to traffic lights.
Looking at the source code behind Tesla’s New Inventory site, we’re able to see that recently produced Model S and Model X with Autopilot have been given an “APH4” options code, signifying that these vehicles are equipped with the latest Full Self-Driving hardware. Tesla uses the option code sequence “APHx” to denote the type of Autopilot hardware installed in its vehicles. APH2 indicates HW2 and APH3 = HW2.5 (Autopilot 2.5). Thus, APH4 is HW3.
Here’s a side-by-side comparison of two 2019 Model S with and without the new Hardware 3 for Autopilot.
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- 2019 Tesla Model S with Hardware 2.5 (2019 Tesla Model S with “Hardware 3” (APH3)
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- 2019 Tesla Model S with “Hardware 3” (APH4)
Source: Tesla New Inventory listing
The tip comes to us from Tesla Info and Inventory, a web site which compiles inventory data for Tesla vehicles around the world, noted that internal vehicle “option codes” indicated a change from Hardware 2.5 to Hardware 3. The site pulls source data directly from Tesla’s car listing pages and analyzes the “config” data embedded in the HTML to determine this information.
This discovery aligns with the schedule for the HW3 installs previously set forth by Tesla CEO Elon Musk. Last October, Musk estimated a 6-month wait before the the new chips would be installed in all new production cars, meaning an April showing.
~6 months before it is in all new production cars. No change to sensors. This is simple replacement of the Autopilot computer. Will be done free of charge for those who ordered full self-driving.
— Elon Musk (@elonmusk) October 16, 2018
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Musk has touted HW3 as the “world’s most advanced computer designed specifically” for the purpose of self-driving functionality, with Tesla holding a notable lead in the field overall. “If you add everyone else up combined, they’re probably 5% — I’m being generous — of the miles that Tesla has. And this difference is increasing,” Musk said in Tesla’s 2018 Q4 earnings call.
For vehicles without HW3 installed at the time of manufacture, Musk has stressed the simplicity of the upgrade process in Tesla’s 2018 Q2 earnings call. “We take out one computer and plug in the next. That’s it. All the connectors are compatible and you get an order of magnitude, more processing and you can run all the cameras at primary full resolution with the complex neural net.”
The simple upgrade to HW3 does require Tesla cars to have HW2 as the equipment needed for its functionality was included in those vehicles. The software uses an array of 8 cameras, 12 ultrasonic sensors, and a forward-facing radar paired with Tesla’s vision and neural net system.
The first features of the Full Self-Driving suite were included in the Version 9 software released in October. “Navigate on Autopilot”, an active guidance feature with Autosteer for highway driving (with driver supervision) came soon after with the release of HW2.5. Improvement in performance from software Version 8.1. to 9.0 was increased by about 400% in useful operations per second; however, the difference between V9.0 and HW3 will make a difference of 500-2000%, according to Musk. Tesla has been releasing iterative over-the-air updates over the last year in preparation for the coming HW3 and complete FSD capabilities.
The current iteration of Tesla’s FSD capabilities includes core highway navigation, autopark, and Summon for car retrieval in parking lots. Recognition of traffic signs and signals as well as city street driving are expected to be coming later this year.
Now that HW3 is on its way to current and future Tesla customers, Full Self-Driving certainly feels right around the corner. However, the biggest obstacle to full implementation still sits on the regulation side, a time-consuming yet necessary part of the consumer vehicle industry, especially when a company is handing over responsibility to a computer. Tesla’s Autopilot page still references full self-driving capabilities as something “in the future” that may happen after regulatory approval which “may take longer in some jurisdictions.”
Tesla’s dominance in the all-electric market will most likely work in its favor to overcome the legal hurdles in the way of autonomous driving. As sales continue to rise with the growing number of customers now able to meet more affordable price points, Tesla will keep accumulating useful data to hone its FSD software and make the case for its much-safer-than-humans capabilities. Other companies may have long been battling the same regulatory demons Tesla is now up against, but the electric car was also “killed off” prior to their very influential arrival on the market. In “Musk World”, there is improbable, but not often impossible.
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SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Elon Musk
Another Tesla SpaceX merger prediction by ARK Invest has Elon Musk talking
Elon Musk again denies a Tesla China split as new SpaceX merger speculation resurfaces quickly.
Elon Musk restated that Tesla has no plans to separate its China business from the rest of the company, responding to a new round of merger speculation from ARK Invest.
On the firm’s “Brainstorm” podcast, Cathie Wood’s team, including chief futurist Brett Winton and research director Nick Grous, argued a Tesla and SpaceX combination remains likely, with an announcement possible before the end of the year even if the deal itself would not close that quickly. Winton called Tesla’s Shanghai operations a “small ish wrinkle” for a merger rather than a real obstacle, since SpaceX’s national security work with the U.S. government sits uneasily next to Tesla’s manufacturing base in China.
Musk pushed back on the framing directly. “China is awesome. I strongly encourage people to visit,” he wrote on X. He also repeated language he first used in late July, when the Wall Street Journal reported that Tesla executives had been told to prepare for a possible spinoff, sale, or closure of the China business ahead of a SpaceX tie up. Musk called that report “absurdly fake news” at the time, adding that a separation had “never even come up in a discussion ever,” a line he echoed again this week.
The repeated denial has not settled the underlying question, because Shanghai’s role in Tesla’s business is exactly what makes a merger complicated. Gigafactory Shanghai still ships more than half of Tesla’s global deliveries and functions as the company’s main export hub for Europe and Asia. Teslarati previously reported on Musk’s initial denial, and the merger conversation itself has been building since SpaceX’s IPO gave it public shares to use as acquisition currency.
Wedbush’s Dan Ives has pegged the odds of a Tesla SpaceX merger at 80 to 90 percent by early 2027, and ARK’s prediction of a year end announcement adds another data point to that timeline, even as Musk keeps rejecting the specific mechanics reporters have described. Neither position rules out the other. Musk can deny a China spinoff was ever discussed while analysts still expect some form of combination to move forward, since ARK and Ives are both describing convergence at the corporate level, not necessarily the internal restructuring the Journal described in July.
For now, Tesla’s China business remains intact, and Musk’s comments this week make clear he has no interest in publicly walking that position back, no matter how often the merger question resurfaces.
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SpaceX AI investment gamble will make it a big winner, firm says
Tesla headlights cause recall of over 20,000 Model 3 and Model Y
