Track Mode turns a Tesla into a stunt car that could keep pace with the Fast and Furious franchise, even Toyko Drift. Except while Dom and the other gearheads would be under the hood adjusting or using a laptop and some nitrous for an extra jump, Track Mode enables users to make stability, braking and cooling changes with a few simple swipes of the screen.
Track Mode is available on Model 3 and Model Y Performance variants, as well as the Model S Plaid. However, Elon Musk has committed to Track Mode in the Model X Plaid. He's also said that it could be available for all Models, even those non-Performance models.
Track Mode first appeared in 2018 on the Model 3 Performance. But Track Mode V2, an updated version, was sent to Model 3 Performance vehicles via an over-the-air update in 2020 with several enhancements. Several YouTubers wasted no time taking their Model 3 with V2 to the track and showing the results. It's fair to say Track Mode surprised many people with its wide range of adjustments, ease of use and tire-eating capabilities. It left as many rubber marks as it did smiles in most videos.
Track Mode is completely software-based; however, there is hardware available for purchase on the Tesla website to ramp up the Model 3 Performance even further. The package includes 20-inch lightweight rims with XL Michelin Pilot Sport Cup 2 Tires, upgraded tire pressure sensors, and high-performance brake pads. Excellent addition but certainly not necessary.
Track Mode in Action
Track Mode Software
Now to the software update that beamed into Model 3 Performance vehicles in 2020. Users select Driving and then tap on Track Mode and enable it. The screen displays an overhead view of the car with green and blue colors on the components that will be used the most while driving the car hard and therefore need monitoring. These parts include the battery pack, the front and rear motor, the brakes, and the tires. A setting tab is also displayed that opens a menu, where the real fun begins. Telsa allows users to make drastic changes or minor tweaks, on the fly, right from the comfort of the vegan driver's seat.
Handling Balance
The first option is Handling Balance, which allows users to adjust the motor bias from the front to the back or vice versa. But that's not all. Like how you can change your car stereo speakers to blast from the rear, the front, or a blend somewhere in between, Track Mode has this set up for power to the motors. The software gives users 10 percent increments to move power to the front or rear motor. This adjustment addresses understeer or oversteer and will play a big part in creating burnouts or drifting around a corner.
Stability Assist
Speaking of drifting, Model 3s have won several safety awards, and many of those accolades may be due to its excellent stability control. The traction control reacts within ten milliseconds to a loss of traction, sending power to the other wheels to avoid slipping and sliding. Stability Assist in Track Mode can be adjusted from -10 to 10. There are several videos of drivers spinning out when turning the Stability Control to -10, not realizing how much the Tesla does to help the driver control the car.
Regenerative Braking
Track Mode also allows users to adjust how much regenerative braking occurs while on the course. Drivers can pick zero, which then goes up in 5 percent increments to 100 percent. Unfortunately, this isn't as useful as it sounds since the regenerative braking system helps prevent the braking system from overheating, a real threat during track time. Tesla recommends keeping regenerative braking at 100 percent, and there doesn't appear to be a way to turn it off completely.
Cooling Features
That's it for sliders, but there are also on/off buttons for Post Drive Cooling, Compressor Overclock and Save Dashcam for Laps. Post Drive Cooling and Compressor Overclock are utilized to decrease components' heat after a track session. While these seem like easy decisions to have turned on, Tesla warns that using the Overclock Compressor will reduce the part's lifespan.
Lap Times and Dashcam
Track Mode can record lap times with you with video footage
DragTimes/YouTube
As for Save Dashcams for Laps, that opens another element of Track Mode. After closing the settings and returning to the usual navigation screen, users can tap and hold on to the icon representing the car, which will set the finish line. After pushing start, the vehicle will use the location to start and stop lap times. When passing the finish line for the first time, the system puts the course in blue on the screen so drivers can follow their exact path. The screen shows the lap number and lap times. This information, video and telemetry data can then be downloaded and viewed on a computer. There is a lot of data, including vehicle thermals, tire use, acceleration and deceleration rates, and the G-meter. Yes, Track Mode also displays the G-forces on the car.
Tesla Warns Users
For all the above reasons, Tesla warns that Track Mode is designed for closed circuit courses. The company states: "It is the driver's responsibility to drive safely and ensure others are not endangered. Track Mode is designed for use by experienced track drivers familiar with the course. Do not use on public roads. It is the driver's responsibility to be in control of the vehicle at all times, including on the track. Because vehicle behavior (including traction and stability control) differs when using Track Mode, always use caution."
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Tesla has unveiled its 6-seat Model Y variant in China, known as the Model Y L. This new variant of one of the world’s best-selling vehicles comes with a longer wheelbase, adjusted C-pillar design, and most importantly, a six-seat interior layout.
The vehicle’s specifications have been officially listed in a filing with China’s Ministry of Industry and Information Technology (MIIT), confirming a launch for this fall.
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The addition of a longer wheelbase and a more spacious third row is a fantastic addition for the Model Y’s family utility, and positions this variant as sort of a mini Model X, but let’s compare the sizes to really know how this new Model Y compares to a Model X.
Meet the Model Y L
The defining feature of the new Model Y L is its six-seat configuration. This layout has previously been exclusive to the larger and more expensive Model X. While Tesla has offered the Model Y in a 7-seat configuration before, the third row was much too small to be utilized by anyone but small children.
Comparing Model Y L to the Model X
@xiaoteshushu on X
Let’s compare this upcoming Model Y L to the regular Model Y and the Model X.
Vehicle/Dimension
Wheelbase
Overall Length
Model Y
2,890mm / 113.8 in
4,797mm / 188.9 in
Model Y L
3,040mm / 119.7 in
4,976mm / 195.9 in
Model X
2,965mm / 116.7 in
5,060mm / 199.2 in
The new wheelbase of 3,040mm is a significant stretch from the standard wheelbase, and in fact, is longer than the Model X’s wheelbase of 2,965mm. However, the overall length of the vehicle is 84mm (~3 inches) shorter than the Model X. This means the vehicle sits neatly between the current Model Y and Model X, filling a much-needed gap.
While this Model Y L is slightly smaller than the Model X, it doesn’t necessarily mean that it’s smaller inside. The Model X features a much larger front end than the Model Y, accounting for several inches. When you line up the front wheel base of the Model X with this new Model Y, the vehicles are almost exactly the same length.
Tesla has designed this Model Y to be a bit more compact and efficient than the Model X, and likely much cheaper, while featuring the well-loved design of the new Model Y.
Other Specifications and Price
The MIIT filing also provided a detailed look at some additional specifications. The Model Y L is a dual-motor, AWD variant, so it will likely be more expensive than the current Model Y AWD that’s available in China today. Tesla charges an additional $6,500 USD when upgrading the Model X from a 5-seat configuration to a 6-seat layout, so we may see something similar here.
The extra length has been added behind the C-pillar, resulting in a longer rear profile for the Model Y L. To accompany this, Tesla has added an updated rear spoiler, similar to the one found on Performance variants, but not carbon fiber. There is also a new wheel design to complement the updated look, along with unique Model Y L badging and a new light gold paint option.
In classic Tesla fashion, no Tesla is slow - and the Y L has a 0-100 km/h (0-60mph) time of 5.9s, with a top speed of 217km/h. Alongside an 82.5 kWh LFP battery pack, the Model Y L boasts an impressive CLTC range of 688 km (427 mi).
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Launch & Availability
According to posts from Tesla China on Chinese social media, the new Model Y L is scheduled to launch in the fall of 2025. Its official listing in the MIIT database is essentially the final regulatory step required before sales can begin, which means the launch is really just around the corner. For now, it appears that Tesla intends to launch this vehicle only in China, as no other filings have been made in other regions. However, these could be revealed in the coming months.
The new Model Y L is a huge addition to Tesla’s lineup - one that addresses the Chinese preference for vehicles with longer wheelbases and additional passenger room in a compact SUV package. The question is - will this variant make its way to North America and Europe?
Solving real-world artificial intelligence - whether for autonomous driving, real-world robotics, or advanced reasoning - requires an almost unfathomable amount of computational power. To meet this challenge, Tesla has been developing its own custom AI training hardware while simultaneously purchasing hardware in the open market.
Now, the next-generation Dojo 2 chip has reportedly entered mass production with the world’s largest semiconductor manufacturer, TSMC. While many may consider this a side quest, expanding Tesla’s computing base will be necessary to achieve exascale supercomputing, which will be crucial for all of Tesla’s AI ambitions.
Elon Musk called Dojo 2 “a good computer,” and then followed up with a classic computer performance joke - Dojo 2 can indeed play Crysis at a billion frames per second.
While Tesla has effectively utilized powerful third-party GPUs to train its models to date, the Dojo supercomputer is a ground-up, application-specific solution designed for a single purpose. It will efficiently process massive amounts of video data for training neural networks. The Dojo 2 chip itself is the key that unlocks this potential.
Dojo 2 will train the vision-based neural nets that FSD relies on, allowing Tesla to process video from its massive global fleet of vehicles even faster. As Tesla continues to improve FSD, one of the biggest challenges has been the intake of video for handling difficult edge cases.
Hundreds of thousands of miles of training data may pass by before an edge case is identified and trained on, but it all needs to be analyzed, labeled, and processed, which is key for Dojo 2. Each new useful piece of training data will help Tesla proceed down the march of 9s, making FSD just that little bit better every time.
This process requires massive amounts of compute and training time - but it is an absolute necessity to improve FSD. Of course, this goes beyond just FSD in vehicles. Tesla’s humanoid robot, Optimus, also runs on FSD to navigate and interact with the physical world.
While it may be a custom version of FSD, it remains FSD at its core, which means the same neural nets that analyze the environment and build a 3D map of the world for your car perform the same work for Optimus.
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Custom Approach to AI Hardware
Dojo 2’s power doesn’t just come from raw compute; it comes from a series of architectural choices that make it excel at training FSD and differentiate it from general-purpose hardware, or even other AI-specific hardware.
To this end, Tesla is using TSMC’s new Integrated Fan-Out with Silicon-on-Wafer (InFO-SoW) packaging technology. For massive AI workloads, heat and the speed at which data moves between chips are often the biggest bottlenecks.
This new packaging technique allows for high-bandwidth connections directly between processing dies, which lowers latency and dramatically improves heat dissipation, all key to building massive and dense compute clusters.
Unlike general-purpose chips, Dojo 2 is designed with a custom instruction set, specifically built to train FSD. The cores are specifically made to accelerate the exact mathematical operations, like matrix multiples and systolic arrays, which form the backbone of Tesla’s vision-based neural networks.
By building its own hardware, Tesla can then integrate its own software and compilers directly with the silicon, optimizing for specific workloads and avoiding the performance penalties that can result from using third-party software, such as Nvidia’s CUDA.
The start of Dojo 2 may seem like a side quest for some, but it’s actually a key step for Tesla’s AI technologies that give them an advantage over the competition using off-the-shelf hardware. They’ll need to continue investing in custom hardware to improve FSD at a reasonable pace, rather than the current glacial pace we’ve seen over the last few months.
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