The full-screen parked visualization on AMD Ryzen vehicles
DirtyTesla
Tesla vehicles are equipped with two main computer systems: the MCU (Media Control Unit), which is responsible for entertainment and display functions, and the Autopilot/FSD Unit, often referred to as the FSD Computer.
Both of these systems have evolved over the years, and they’re commonly referred to by their generation. For example, MCU 2 refers to the second generation of the Media Control Unit. Similarly, the FSD computer is identified by its generation, often called Hardware 3 or Hardware 4, when referring to the third and fourth-generation hardware. More recently, Tesla has started referring to the FSD Computer as AI3 and AI4, but you’ll still hear the older terms used interchangeably.
These two systems are separate and they’re not upgraded at the same time, meaning it’s possible to have a vehicle with MCU 2 and FSD Hardware 3 or MCU 3 with Hardware 3. Some vehicles even feature MCU 1 alongside Hardware 3.
The MCU is not involved with Autopilot or FSD functions—it’s purely for infotainment and in-vehicle features such as vehicle visualization, gaming, maps, and entertainment. It doesn’t impact the capabilities or limitations of Tesla’s autonomous driving systems.
MCU 1 - NVIDIA Tegra 3
MCU 1 was the first media control unit to be introduced in Tesla vehicles, starting back in 2012. This system was used in the Model S and Model X until about April 2018, when Tesla began transitioning to MCU 2.
By the time the Model 3 launched in late 2017, it already included MCU 2. To keep legacy vehicles up to date, Tesla offers an infotainment retrofit that upgrades MCU 1 to MCU 2, which helps make the infotainment unit much more responsive and adds a variety of newer features. Tesla continues to support vehicles with MCU 1, although upgrades are much further apart. In 2024, Tesla added Automatic Emergency Braking (AEB) improvements to vehicles with MCU 1 and even support for FSD V12.3.6 (FSD HW3 required).
Period Offered: 2012 through April 2018
Upgrade: Available as a paid upgrade for Model S and Model X vehicles to go from MCU 1 to MCU 2.
MCU 2 - Intel Atom
The launch of the Model 3 introduced MCU 2, which ran on Intel’s Atom mobile processor. While the Intel Atom was capable at the time, it’s now considered outdated compared to modern standards. As Tesla continues to roll out new features, the limitations of the Atom processor have become more apparent.
There is a notable list of features that are unavailable to vehicles with MCU 2. Although Tesla has optimized software to improve compatibility, not all features have been made accessible to these vehicles.
Period Offered: MCU 2 was offered in 2017 (Model 3) through 2022 (availability differs based on region and model).
Upgrade: As of now, Tesla has not offered an upgrade path or retrofit to transition from MCU 2 to MCU 3, and they’re unlikely to do so.
MCU 3 - AMD Ryzen
In December 2021, Tesla began shipping vehicles with MCU 3, powered by AMD’s Ryzen processor. The first vehicles to feature MCU 3 were the refreshed Model S and Model X, which debuted in 2021. Shortly after, Model 3s and Model Ys were also equipped with MCU 3, and today, all Tesla vehicles, including the Cybertruck, come standard with MCU 3.
This MCU is now the most widely used on the road and is Tesla’s most advanced infotainment processor. It supports impressive 3D visualizations, allows improved gaming on the center touchscreen (and rear screens in equipped vehicles), and offers a host of other capabilities. MCU 3 is also the most feature-complete version, with new features being designed for it first and then backported to MCU 2 or MCU 1 when possible.
Period Offered: The first MCU 3 vehicles were released in December 2021 and is current through today.
Upgrade: MCU 3 is the most current infotainment unit that Tesla offers.
Features Missing on MCU 2 (Intel Atom)
High-fidelity park assist is limited to vehicles with MCU 3
Not a Tesla App
While Tesla does its best to continue to support MCU 2, there is a growing difference between the features available on a vehicle with an Intel Atom infotainment unit and one with the AMD Ryzen processor.
Feature
MCU 2
MCU 3
Games / Arcade
⚠️ Limited Games*
✅ Additional Games**
Parked View
⚠️ Split screen visualization with vehicle on left and map on right
✅ Full-screen Parked Viz - Shadows, Sun Reflections, Shadows
Vehicle Visualizations
⚠️ Some limitations, such as non-transparent glass
Improved UI for Display Modules - Media, Next Turn, Trip Planner
⚠️ Solid Color/Semi-Transparent
✅ Transparency + Background Blur for Display Modules
*Many recent game additions are available to MCU 3 only, including the ever-popular Vampire Survivors and Castle Doombad. Only certain Model S and Model X vehicles include a GPU and the ability to play games on Steam.
Identifying which MCU your vehicle has is straightforward. Simply go to Vehicle Options > Software > Additional Vehicle Information.
In the interface, you’ll find details about whether your vehicle is equipped with an Intel Atom (MCU 2) or AMD Ryzen processor (MCU 3).
MCU 4?
It’s been more than three years since Tesla introduced the AMD Ryzen-powered MCU. Despite advancements, including the transition from FSD Hardware 3 to AI4—and eventually AI5—there’s been no indication of an MCU 4 on the horizon.
The Ryzen processor’s impressive capabilities make it a solid choice for infotainment, and it’s well-suited to serve until there’s another big leap in CPU performance.
While Tesla will upgrade to MCU 4 at some point, it doesn’t seem imminent. Some may argue that Tesla transitioned to MCU 3 too late, leaving vehicles just a few years old feeling outdated. It’s possible Tesla might choose to introduce MCU 4 ahead of the need for more processing power, ensuring that older vehicles can continue to benefit from new software features in the future.
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Tesla recently introduced Buy Now, Pay Later (BNPL) payment options in the United States and Canada for items in the Tesla Shop, letting owners pay later for new vehicle accessories.
However, with Tesla app update 4.46, they’re expanding support to a much more critical area — Tesla Service. Qualifying owners in the U.S. and Canada will now be able to use Pay Later options for service performed by Tesla, which includes maintenance or repairs.
Services are provided by Affirm and Klarna, as per Mark Fonte, a Senior Software Engineer working on the Tesla app.
The new feature is seamlessly integrated into the existing service workflow within the Tesla app.
On the Service Estimate, before work on the vehicle begins, you will see a new message on the estimate screen: Pay over time - see if you qualify.
Tapping this link opens the payment calculator, which allows you to view potential payment structures and monthly costs. This provides a clear picture of what a payment plan would look like before you commit to servicing your vehicle.
Additionally, after service is complete and you are ready to pay, the final payment screen will present Affirm and Klarna (region-dependent) as selectable payment methods, alongside the usual options of Tesla Credit or your primary payment card.
Tapping Affirm or Klarna here will reopen the payment calculator, and a confirmation prompt will appear before selecting either BNPL option.
Service Now, Pay Later
Overall, the integration of BNPL providers for service is a thoughtful one for vehicle owners. The terms can vary widely, so it’s important to compare them to other payment options you may have access to. The additional financial flexibility, when faced with a large repair bill, allows more owners to get their vehicle professionally and properly serviced by Tesla.
For those getting larger work done, such as high-voltage battery pack replacements, this is an excellent option to spread payments over a longer period, helping reduce the burden of vehicle repair.
With the launch of Tesla’s Robotaxi Network, we didn't just get a peek into the future of transportation—we got a detailed look at the next version of FSD.
Videos from early access riders revealed some additional capabilities over current public FSD builds, showing off how it handles emergency vehicles and more.
Safety First for First Responders
One of the biggest changes in FSD’s capabilities is its improved handling of emergency vehicles. During a ride in Austin, Robotaxi is seen identifying an approaching ambulance using a combination of visual and audio data, activating its turn signal, and smoothly pulling over to the side of the road to let the ambulance by (video below).
This is a driving task that requires more than simple awareness of laws. It requires reasoning skills to determine where to move the vehicle to create a safe path, as well as the ability to quickly identify an ambulance or another emergency service vehicle with its sirens and lights activated. Understanding the context and executing a safe and predictable maneuver is crucial, as a wrong maneuver could actually make matters worse.
For FSD and Robotaxi to gain both public trust and regulatory approval, this skill is non-negotiable, and Tesla demonstrated its advancements right here. It’s not surprising Tesla added this ability before Robotaxis made it to public roads.
How does a fleet of Robotaxis keep its eyes clean without constant human intervention? Well, a clever new feature that Tesla has previously hinted at in their FSD release notes provides the answer. Robotaxi can now trigger a specific wiper and washer fluid sequence designed to clean the main front-facing cameras.
This might seem like a small detail, but it’s a brilliant solution to one of Tesla’s primary challenges - maintaining sensor clarity. While the vehicle could simply wipe the windshield multiple times, this is a clever solution to clean the most important area of the windshield as thoroughly as possible by focusing extra wiper fluid and wipes on that area.
Complex Maneuvers
Two areas where current builds of FSD V13.2.9 sometimes show hesitation are U-turns and navigating busy parking lots. The latest Robotaxi build appears to improve on both of these areas.
This first video shows a Robotaxi performing a flawless U-turn with no hesitation, and then smoothly switching lanes to take a turn.
Another video on X shows FSD’s updated confidence in navigating a complex parking lot for a precise drop-off. Today’s builds can sometimes struggle in parking lots, being slow and overly cautious when not needed, or too confident elsewhere. This appears to have been improved in these Robotaxi FSD builds with improved path planning and confidence.
Tesla Robotaxi service is just so smooth. Handles parking lots very well, noticeably better than the competitors pic.twitter.com/D5OxSrajCW
We’re also likely to see FSD begin to handle more complex destination options, including parking garages and driveways, which have been promised features for almost a year. The Robotaxi FSD build has also gained the ability to safely pull over on a road, similar to the ambulance example above, but it uses this capability to drop off and pick up passengers. This is a feature that was mentioned in FSD v13.2’s Upcoming Improvements section.
Better Nighttime Performance
Driving at night presents additional challenges, including headlight glare and reduced visibility. The latest version of FSD appears to handle it with almost the same grace as it does during the day. Remember that Tesla’s Robotaxis are available up until midnight. Early access riders mentioned that FSD is far smoother and is a step up from the behavior of current FSD builds.
Impressive nighttime performance from Tesla Robotaxi, dropping us off at In-N-Out as smoothly as it did during the day. pic.twitter.com/yQOhphtR0q
Now, what happens when a passenger feels unsafe or has a critical question? Tesla has placed two key buttons on the rear screen for just those purposes. Users are given control over the ability to Call Support, which almost instantly connects them with a real human agent at Tesla’s Robotaxi Operations Center via video call.
Here’s what happens when you hit the support button in Tesla’s Robotaxi’s.
While it isn’t a fundamental driving feature, it does mean that Tesla’s team can provide support to Robotaxi vehicles remotely, like issuing directive commands to have a vehicle proceed straight, rather than attempting to turn through a gated community.
The other option, Pull Over, allows a rider to immediately request the vehicle to safely pull over, which it will do when it can find a safe and open location. At this point, you can either continue your trip or get out of the Robotaxi.
Both options prompt you with an “Are You Sure?” button before letting you continue, which means you won’t have your Robotaxi ride come to an abrupt stop if you tap the ‘Pull Over’ button by accident.
What This Means for Tesla Owners
These features are likely to be included in future FSD builds. This is essentially the new benchmark by which to judge FSD, at least once it begins rolling out to customer vehicles.
Many of the core driving improvements, such as the more confident maneuvering and emergency vehicle response, will make their way to the wider fleet in upcoming FSD updates.
Remember - Robotaxi isn’t just a service, it is also a preview of Tesla’s driverless FSD builds.
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