Tesla FSD Hardware 4.0 Revealed: More Cameras, New Placements

By Nuno Cristovao
Tesla's FSD hardware 4.0 is uncovered
Tesla's FSD hardware 4.0 is uncovered
@GreenTheOnly/Twitter

News and rumors have been heating up about Tesla's upcoming FSD hardware 4.0. Now, thanks to @GreenTheOnly, we have our first look at Tesla's latest FSD hardware, version 4.0.

The new hardware will not only include a faster computer and higher resolution cameras but it will include HD radar, additional cameras and new camera placements.

Cameras

It's been rumored for a while now that Tesla will use upgraded camera sensors with increased resolution. We reported last year that these new cameras are also expected to have LED flicker mitigration that will aid in reading digital signs. 

Tesla's current cameras produce 1.2 megapixels, and while we don't know for a fact what the updated resolution will be, numerous rumors have pointed at them having 5 megapixel sensors.

One of our sources says that while the increased resolution will be useful in certain scenarios, it won't be 'critical' because the higher resolution also comes with some downsides, such as more noise and will require additional processing power.

However, we expect that it will be useful in certain scenarios and Tesla may even be selective about when the increased resolution is used. The new cameras will also provide a better picture and will benefit non-FSD features such as Sentry Mode.

However, the increased resolution of the new cameras is only a small part of the upcoming camera changes.

Camera Placement

Tesla's hardware 4.0 features 12 camera connectors
Tesla's hardware 4.0 features 12 camera connectors
@GreenTheOnly/Twitter

Tesla's hardware 4.0 has 12 camera connectors on board, with one being labeled spare. All current Teslas feature nine cameras in total. Three of them are forward-facing cameras and located underneath the windshield, two are on the fenders, two on the B-pillars, one in the rear and one for the cabin camera.

A leak last month revealed that Tesla plans to reduce the number of front-facing cameras to two, down from three. This is likely due to the higher-resolution cameras, making the third telephoto lens unnecessary.

That means there may be up to three additional cameras in hardware 4.0, or possibly four if you count the spare. According to Green, these three cameras appear to be destined for the vehicle's front bumper, although it's not clear in which direction they'll be aimed.

There have been various documented issues where Tesla has a blindspot when the vehicle is coming out of a secondary road that is obstructed by buildings or other objects. Having a camera that could look to the sides near the front of the vehicle would solve these situations, by giving it better than human vision since they'd be placed near the front of the vehicle.

FSD struggles with obstructed views like these
FSD struggles with obstructed views like these
Cyber Owners/YouTube

According to the camera port names, it appears that Tesla may also be repositioning some of its cameras. The B-pillar cameras, which look forward, may be moved onto the vehicle's fenders to presumably help provide a better view as well.

Another leak last month revealed that Tesla is added a heater element to cameras in the B-pillar of the vehicle, which will help with fog build-up underneath the glass. 

Processing Power

Hardware 4.0 was previously rumored to be about 2-4x faster than hardware 3.0. Some of this power will undoubtedly go toward processing the new camera feeds and additional pixels the new cameras are providing. However, the additional power is crucial given that hardware 3.0 is nearing its processing limit.

Green provided the specs from the new hardware's chips, revealing it contains 20 cores, up from 12, and it maxes out at 2.35 GHz. Green also talked about the number of TRIP cores increasing from two to three and maxing out at 2.2 GHz.

While the number of cores and its frequency don't reveal how powerful this new hardware may be, Green says that the new hardware has 'a lot less improvement than many hoped for.'

It's not clear how much faster hardware 4.0 will be compared to hardware 3, but it sounds like the improvement may be toward the lower limit of the 2-4x speed bump we were expecting.

The hardware specs provided are per node, with the board having two nodes, which are expected to be used for redundancy.

Redundancy

Tesla's FSD hardware 4.0 is uncovered
Tesla's FSD hardware 4.0 is uncovered
@GreenTheOnly/Twitter

When Tesla introduced hardware 3.0, they also built it for redundancy in case of emergencies. Each board was built with two identical nodes. Both nodes could compute the same data and compare the outputs, letting the vehicle know if there was an issue. If one node failed, the vehicle could also continue driving itself long enough to pull over safely.

However, as Tesla's processing requirements increased, redundancy was removed on hardware 3.0 so that Tesla could leverage the processing power of both nodes.

With hardware 4.0, Tesla has once again added redundancy into their hardware, not only in terms of chips and processing but power redundancy as well.

Retrofits

During Tesla's earnings call last month, Elon talked a little bit about hardware 4.0, saying that it would not be economically feasible to perform retrofits.

However, given this look at Tesla's latest FSD hardware, it all but confirms that Tesla has no plans to offer any sort of retrofit.

Hardware 4.0 is also much more than just a faster computer. The power draw is much higher on hardware 4.0 than on hardware 3. The form factor is also completely different and will not fit in a previous model without modifications.

Tesla's previous FSD hardware upgrades were either camera upgrades or a computer upgrade, both of which were easily swappable. However, the hardware 4.0 suite now includes additional cameras, new camera placements, a new computer form factor, and an HD radar, making a retrofit unrealistic in every way.

There may be hobbyists that will dedicate their time and money to retrofitting their vehicles, but that's as far as we expect retrofits to go. The time and money Tesla would spend on retrofitting a vehicle would not make 'economical sense.'

Radar

Tesla's hardware 4.0 package augments vision with an HD radar.

Tesla started removing radar from their vehicles in 2021 with the Model 3 and Model Y. They later removed radar from their Model S and Model X vehicles as well in favor of a vision-only system.

However, with hardware 4.0, Tesla is reintroduced radar with a high-definition radar named Phoenix. HD radar is a step up from traditional radar, letting Tesla more accurately create an image with radar alone.

The inclusion of an HD radar isn't a surprise, as Elon Musk has previously said vision with high-res radar would be better than pure vision.

With hardware 4.0 Tesla is also going the extra distance with protecting its sensors. Not only will some of the cameras contain heaters to prevent weather-related issues, but Tesla will include a heater for the radar as well.

The radar heater will prevent snow and ice from accumulating on the front of the vehicle and blocking the radar signals.

Power Consumption

Since hardware 4's chips are more powerful it isn't a big surprise that they also require additional power. 

According to Green, hardware 3 consumed about 100 watts max, which is about the same as hardware 2.5. Hardware 3 was created with the same power restrictions as hardware 2.5 since it needed to be easily retrofitted.

However, since hardware 4.0 isn't going to be retrofitted, it didn't come with the same design restrictions. We don't know what hardware 4's max processing power is based on the information disclosed, but it will apparently idle at 80 watts, which is about double the idle power of hardware 3.

Which Models Will Have Hardware 4.0

Green believes that Tesla is producing Model S and Model X vehicles with hardware 4.0 now. However, Tesla is hanging on to them and they're not being delivered yet.

Tesla has their upcoming March 1st event titled Investor Day, where they may reveal hardware 4.0 to everyone. Possibly with a surprise announcement that all current vehicles contain hardware 4.0.

It's not clear whether the Model 3 and Model Y are currently being manufactured with the new hardware, the Model 3 and Y lines in China are currently paused for retooling which could be related to hardware 4.

Tesla Plans Massive 10x Robotaxi Expansion: A Look at the Potential New Area

By Karan Singh
Not a Tesla App

With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.

Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.

Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.

If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.

From Urban Core to Rural Roads

The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.

In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges. 

In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.

In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.

Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.

Rapid Scaling

This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.

While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.

Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.

Caught on Video: Tesla FSD Tackles a Toll Booth — Here’s How It Pulled It Off

By Karan Singh
@DirtyTesLa on X

For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.

Toll Booth Magic

In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.

If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.

How It Really Works

While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.

FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.

The Bigger Picture

This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.

If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.

These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.

This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.

These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.

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