mpshizzle
Well-Known Member
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The video on my YouTube channel (Thunder Volt Auto) provides a lot more context and detail:
So I recommend watching that.
I just got to talk with a lot of Rivian’s Engineers at their AI and Autonomy Day in Palo Alto, and let me tell you: my brain is full.
It’s clear that for the upcoming R2, Rivian isn't messing around. This car *has* to be a hit, so they are throwing absolutely everything they have at it.
Here is the breakdown of the monster tech that’s about to end up in the R2:
1. Meet "RAP1": The Brain That Eats Gaming PCs for Breakfast
The biggest mic-drop moment? Rivian built their own processor. It’s called the Rivian Autonomy Processor 1 (RAP1), and on paper, it is an absolute beast.
If you’re a gamer, you know the Nvidia RTX 4090 is the king of the hill, pushing about 1,300 TOPS. Well, the new computer in the R2 uses 2 of these new RAP chips for a combined 1,600 TOPS.
Now, there’s a little catch here: We don’t know if they plan to run these two chips in parallel (maximum speed) or as a redundant pair (safety net). If one chip has a problem, the other one takes over instantly. But if that’s the case, you’re still getting 800 TOPS of performance, built on the same ultra-efficient 5nm tech as Apple’s M1 chips.
2. The Cameras: Similar, but NOT the same ones from R1
Rivian is sticking with the 11-camera layout we know from R1, but they’ve given everything a nice little spec bump. Slightly higher dynamic range, etc. But there are 10 megapixels of resolution somewhere. R1 G2 has 55MP of resolution, R2 has 65MP. My guess is those extra megapixels likely come from the interior cabin camera. In R1, my understanding (though not 100% confirmed) is that the driver monitoring camera hidden in the mirror is the only camera that is NOT a Rivian design. Since Rivian's new favorite thing is vertical integration, I'm guessing they swapped this for something of their own design, with some extra megapixels.
3. The Radars: The front imaging radar seems to be unchanged. But the corner radars have been upgraded to dual mode radars. That basically means they canfar away (for driving down the road) and up close (for parking). This replaces the sonar sensors in the bumper.
Honestly? If implemented well, I'll bet most drivers won't notice. And I think it's a smart chage. Fewer points of failure and less cost in manufacturing.
4. The BIG Change: LiDAR
Aside from the custom chip, LiDAR is the other big change everyone is talking about. But why? There seem to be 2 main reasons:
*The 99% Problem: Cameras are great for 99% of driving. But for that terrifying 1% (heavy fog, blinding glare, total darkness) different sensor types fill in the gaps. With 3 different types of sensors, each with varying strengths in different conditions, you get a lot more assurance you know what's going on around the vehicle in challenging conditions. To be clear, the cameras will still handle the heavy lifting and do most of the work, but having Radar and LiDAR fill in the edge cases. If Rivian wants to reach "Level 4", they need that safety net.
*The Penguin Effect: Rivian has a fleet of vehicles called "Penguins". R1 vehicles with crazy lidar rigs and extra sensors strapped to them. This helps them get what they call "Ground Truth". A very precise map and data set to assist in training the LDM (Large Driving Model). By putting LiDAR on R2, they effectively turn thousands of customer cars into data-gathering machines, allowing them to create even more robust training sets than the data that comes from R1 Gen 2 vehicles. This will even further accelerate their model training.
5. The Software Stack and the Future of Gen 2
Rivian (as with everything, it seems) owns the entire stack from top to bottom. Their custom middleware layer runs as a "hardware abstraction layer" that lets the Autonomy code run exactly the same way, no matter which hardware it's running on. So in theory, the same Autonomy stack and models can run on both Gen 2 and Gen 3 hardware with little to no modification.
As far as the current state of the software: I actually rode in a 100% factory (not modified) R1 Gen 2 running the new "Point-to-Point" autonomy prototype software, and it handled it like a champ. The engineers told me the current chips still have some headroom. So for the next while it's probable (and dare I say likely) that Gen 2 and Gen 3 will operate with the same feature set and capability.
That said, there is a ceiling. Rivian’s end goal is "Personal Level 4"—eyes off, hands off, car drives the kids to soccer practice alone. Because the R1 Gen 2 lacks that LiDAR safety net, it probably won't ever get *that* specific feature. Even though the cameras and (and possibly the compute) may be able to handle that task most of the time, it doesn't have the camera+radar+LiDAR safetey net for that 1% of the time.
But even so, gen 2 vehicles still benefit from all the data those R2s are collecting, making it a much more competent driver.
If you found this information useful or interesting, use my referral code to get up to 500 points in the Gear Shop and free charging! https://rivian.com/configurations/list?reprCode=MIKE4580282
So I recommend watching that.
I just got to talk with a lot of Rivian’s Engineers at their AI and Autonomy Day in Palo Alto, and let me tell you: my brain is full.
It’s clear that for the upcoming R2, Rivian isn't messing around. This car *has* to be a hit, so they are throwing absolutely everything they have at it.
Here is the breakdown of the monster tech that’s about to end up in the R2:
1. Meet "RAP1": The Brain That Eats Gaming PCs for Breakfast
The biggest mic-drop moment? Rivian built their own processor. It’s called the Rivian Autonomy Processor 1 (RAP1), and on paper, it is an absolute beast.
If you’re a gamer, you know the Nvidia RTX 4090 is the king of the hill, pushing about 1,300 TOPS. Well, the new computer in the R2 uses 2 of these new RAP chips for a combined 1,600 TOPS.
Now, there’s a little catch here: We don’t know if they plan to run these two chips in parallel (maximum speed) or as a redundant pair (safety net). If one chip has a problem, the other one takes over instantly. But if that’s the case, you’re still getting 800 TOPS of performance, built on the same ultra-efficient 5nm tech as Apple’s M1 chips.
2. The Cameras: Similar, but NOT the same ones from R1
Rivian is sticking with the 11-camera layout we know from R1, but they’ve given everything a nice little spec bump. Slightly higher dynamic range, etc. But there are 10 megapixels of resolution somewhere. R1 G2 has 55MP of resolution, R2 has 65MP. My guess is those extra megapixels likely come from the interior cabin camera. In R1, my understanding (though not 100% confirmed) is that the driver monitoring camera hidden in the mirror is the only camera that is NOT a Rivian design. Since Rivian's new favorite thing is vertical integration, I'm guessing they swapped this for something of their own design, with some extra megapixels.
3. The Radars: The front imaging radar seems to be unchanged. But the corner radars have been upgraded to dual mode radars. That basically means they canfar away (for driving down the road) and up close (for parking). This replaces the sonar sensors in the bumper.
Honestly? If implemented well, I'll bet most drivers won't notice. And I think it's a smart chage. Fewer points of failure and less cost in manufacturing.
4. The BIG Change: LiDAR
Aside from the custom chip, LiDAR is the other big change everyone is talking about. But why? There seem to be 2 main reasons:
*The 99% Problem: Cameras are great for 99% of driving. But for that terrifying 1% (heavy fog, blinding glare, total darkness) different sensor types fill in the gaps. With 3 different types of sensors, each with varying strengths in different conditions, you get a lot more assurance you know what's going on around the vehicle in challenging conditions. To be clear, the cameras will still handle the heavy lifting and do most of the work, but having Radar and LiDAR fill in the edge cases. If Rivian wants to reach "Level 4", they need that safety net.
*The Penguin Effect: Rivian has a fleet of vehicles called "Penguins". R1 vehicles with crazy lidar rigs and extra sensors strapped to them. This helps them get what they call "Ground Truth". A very precise map and data set to assist in training the LDM (Large Driving Model). By putting LiDAR on R2, they effectively turn thousands of customer cars into data-gathering machines, allowing them to create even more robust training sets than the data that comes from R1 Gen 2 vehicles. This will even further accelerate their model training.
5. The Software Stack and the Future of Gen 2
Rivian (as with everything, it seems) owns the entire stack from top to bottom. Their custom middleware layer runs as a "hardware abstraction layer" that lets the Autonomy code run exactly the same way, no matter which hardware it's running on. So in theory, the same Autonomy stack and models can run on both Gen 2 and Gen 3 hardware with little to no modification.
As far as the current state of the software: I actually rode in a 100% factory (not modified) R1 Gen 2 running the new "Point-to-Point" autonomy prototype software, and it handled it like a champ. The engineers told me the current chips still have some headroom. So for the next while it's probable (and dare I say likely) that Gen 2 and Gen 3 will operate with the same feature set and capability.
That said, there is a ceiling. Rivian’s end goal is "Personal Level 4"—eyes off, hands off, car drives the kids to soccer practice alone. Because the R1 Gen 2 lacks that LiDAR safety net, it probably won't ever get *that* specific feature. Even though the cameras and (and possibly the compute) may be able to handle that task most of the time, it doesn't have the camera+radar+LiDAR safetey net for that 1% of the time.
But even so, gen 2 vehicles still benefit from all the data those R2s are collecting, making it a much more competent driver.
If you found this information useful or interesting, use my referral code to get up to 500 points in the Gear Shop and free charging! https://rivian.com/configurations/list?reprCode=MIKE4580282
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