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Top 10 Tesla Track Mode V2 features for the Model 3 Performance
The capabilities of Tesla’s newly-unveiled Track Mode V2 was demonstrated recently by a select group of car enthusiasts, one of them being the host of YouTube’s Vehicle Virgins channel. Following some time with a Model 3 Performance with Track Mode V2, host Parker Nirenstein listed the 10 best features of the upcoming update.
Tesla’s V2 Track Mode was announced on March 2 and it will introduce a variety of new features that foster better performance for Model 3 owners who have a taste for higher speeds and racecar-like handling. Expanding on the original Track Mode, V2 promises even more customization, control, and capabilities for drivers brave enough to tap into the raw power of a Model 3 Performance.
Following are Vehicle Virgins‘ Top 10 Track Mode V2 features.
1. Industry-Leading Visual Display
Once Track Mode V2 is enabled, the Model 3’s center display changes to give drivers pertinent information for closed circuit driving. Instead of the typical driving visuals and trip stats featured in the Model 3’s screen, the Model 3 Performance’s display shifts to provide drivers with a clear visual of what is exactly happening with certain portions of the car while Track Mode V2 is engaged. Stats such as battery temperatures and tire temperatures are provided.
2. G-Force Meter
Track Mode V2’s G-Force Meter gives live feedback of current measurements of the car’s current state. The meter also tracks past G-Force measurements from the most recent session. This allows drivers to see how much G-force was applied to each portion of the car during drifting or hot laps.
3. Post-Drive Cooling Feature
Tesla has included a Post-Drive Cooling feature to Track Mode V2, a feature that the Vehicle Virgins host stated is something that is being included today in actual track cars. This feature prevents excessive heat from damaging the battery and the Model 3’s other critical components. This will also decrease the wait time between runs, allowing Model 3 Performance owners to spend more time on the closed circuit and less time waiting for their vehicles to cooling down.
4. Record Video Features
Track Mode V2 will now allow drivers to record recent runs using the vehicle’s built-in cameras that are used by Sentry Mode and Autopilot. Now, laps and drifting runs could be actively captured, allowing for playback of impressive lap times, or to show off a flawless drifting run around obstacles. Driving data from these videos can even be printed to give drivers the full rundown of their performance on the track.
5. Variable Power Splits
This makes the Dual Motor All-Wheel Drive vehicle capable of changing into a full Rear-Wheel-Drive or Front-Wheel-Drive car simply by toggling through settings on the Model 3 Performance’s center display. Nirenstein noted that the Model 3’s customization of this feature is much more impressive than his Lamborghini Huracan’s “Sport Mode,” which went all the way up to 90-10 in favor of Rear-Wheel Drive. The YouTube host also emphasized that the Model 3’s price is 10 times less than the Lamborghini’s, but he is much more impressed with the electric car’s feature.
6. Custom Track Settings
Custom settings could be named and perhaps even saved on the vehicle for specific tracks. This would allow drivers to get the optimum performance from their Model 3 Performance for each location or racing session that they will be attending.
7. 20 Stages of Traction Control
Track Mode V2 allows for 20 different settings of Traction Control for different driving experiences. Nirenstein stated that the AMG GTR became practically legendary due to its 9 different stages of traction control, but Tesla has actually more than doubled the number of options with 20 full stages. This, of course, provides Model 3 Performance drivers with an immense amount of control for their vehicle.
8. Regen only on the Rear Wheels
Track Mode V1 uses regen a lot to enable the Model 3 Performance to perform well on a closed circuit. Track Mode V2 takes this a step further, allowing owners to completely turn regen off, or only apply the braking system to the rear wheels exclusively in RWD mode. Experienced drivers and those who are proficient at drifting will likely take a liking to this capability.
9. Built-in Lap Timer with customizable start point and finish line
By using the vehicle’s GPS, drivers can set a custom start and finish point that will then track lap times and speed based on the vehicle’s location. This feature will record multiple laps, allowing drivers to test different lines and speeds to improve performance.
10. Compressor Overclock
Compressor Overclock runs the Model 3’s cooling compressor at an increased rate to inhibit faster battery and vehicle cooling, decreasing wait time between runs. The feature allows the compressor to run at a rate higher than normal, helping performance, but also increasing wear.
Each of these new features is demonstrated in Vehicle Virgins‘ new video, where host Parker Nirenstein demonstrated Track Mode V2’s capabilities. In addition to displaying the new functions Tesla has released with Track Mode V2, the video featured the new Model 3 Track Package recently released for the all-electric sedan. The package includes Zero-G Performance Wheels, race-focused brakes and brake fluid, and track-optimized tires.
Tesla has yet to set a date for when the free OTA update will roll out for Model 3 Performance owners. The Model 3 Track Package will begin shipping in April and it includes Zero-G Performance wheels, Michelin Pilot Sport Cup 2 tires, high-performance brake pads, track-focused brake fluid, center cups, pressure sensors, and lug nut covers. The package will cost $5,500.
Watch Vehicle Virgins‘ Track Mode V2 video below.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.
Tesla just trademarked MEGAPOD: here’s what it is
SpaceX is launching a secret spacecraft that could change how things are made in space
