Tuesday, July 14th 2026

Samsung Texas Fab to Mass-Produce Tesla AI5 SoC on 2 nm Node

Earlier this year, Elon Musk announced that Tesla had completed the design of its AI5 SoC. Today, we learn that the company will receive these processors from a United States-based Samsung fab located in Taylor, Texas. This means Samsung is preparing to produce the AI5 chip on its SF2 2 nm node on U.S. soil, effectively utilizing the CHIPS Act funding it received to manufacture silicon for domestic companies. As more companies push for domestic manufacturing, Tesla has been working with Samsung and TSMC to leverage their American-based facilities to align the vital parts of the supply chain with the location where the company is based and conducts most of its business.

For Samsung, this is a significant customer win, as Tesla will undertake major volume production in its Taylor fab on the SF2 node. This is one of the first major projects outside of Samsung's usual operations in South Korea, where most of its leading-edge production occurs. Regarding the AI5 chip, Tesla has designed these processors for Full Self-Driving (FSD). The CEO also mentioned that the AI5 chip will offer performance comparable to NVIDIA's "Hopper" architecture, with two AI5 units matching the power of a single "Blackwell" processor. On both the left and right sides, there are two rows of SK hynix LPDDR5X memory modules, each with three modules. This totals 12 LPDDR5X memory modules per AI5 chip. With 16 GB per module, this results in 192 GB of LPDDR5X memory per AI5 SoC. Additionally, Tesla has ambitious plans for nine-month design cycles for the AI6, which will also be part of the joint effort between Samsung, TSMC, and possibly even Intel with its advanced packaging. Musk confirmed that the AI6 and Dojo 3 projects, among other "exciting chips," are currently in progress, suggesting we could see much more custom silicon ASICs in the coming months.
Source: via Tom's Hardware
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9 Comments on Samsung Texas Fab to Mass-Produce Tesla AI5 SoC on 2 nm Node

#1
kondamin
I'd prefer he built his own fabs for ram already
Posted on Reply
#2
Dubiopolis
kondaminI'd prefer he built his own fabs for ram already
If this fab makes quality parts for Tesla other companies will spend their money on this fab. Then Samsung will be incentivised to set up another fab in the US. More money and more jobs for US citizens. But oh my god 192GB of LPDDR5X memory per SoC? For self driving cars? Will each car learn how to drive by themselves?
Posted on Reply
#3
kondamin
DubiopolisIf this fab makes quality parts for Tesla other companies will spend their money on this fab. Then Samsung will be incentivised to set up another fab in the US. More money and more jobs for US citizens. But oh my god 192GB of LPDDR5X memory per SoC? For self driving cars? Will each car learn how to drive by themselves?
Samsung is fully booked just like TSMC, ah the moment they have nothing to complain about.
Posted on Reply
#4
igormp
DubiopolisBut oh my god 192GB of LPDDR5X memory per SoC? For self driving cars? Will each car learn how to drive by themselves?
AFAIK those chips will be used in their training clusters, and won't be deployed onto the cars.
Posted on Reply
#5
Dubiopolis
igormpAFAIK those chips will be used in their training clusters, and won't be deployed onto the cars.
Oh, ok. How many would they need for those clusters? How much would that cost? How long until self driving cars pay off the amount of money Tesla put into this project? Will the self driving cars be successful or fail?
Posted on Reply
#6
R0H1T
DubiopolisOh, ok. How many would they need for those clusters? How much would that cost? How long until self driving cars pay off the amount of money Tesla put into this project? Will the self driving cars be successful or fail?
FSD isn't a technologically "solvable" problem IMO and yeah he's been shilling lying about it for what a decade now?
Posted on Reply
#7
igormp
DubiopolisOh, ok. How many would they need for those clusters? How much would that cost? How long until self driving cars pay off the amount of money Tesla put into this project? Will the self driving cars be successful or fail?
If I knew the answers to all those questions I'd be profiting a lot with their stocks lol
But going for my opinions (which can mean nothing at all):
DubiopolisHow many would they need for those clusters?
A lot. If we go by their existing Colossus clusters, I think it's safe to say they will be using over 10k of those devices.
DubiopolisHow much would that cost?
Again, going for some numbers from Colossus, over 50 million USD is not a unreasonable number to start off with.
DubiopolisHow long until self driving cars pay off the amount of money Tesla put into this project?
I'm not sure if it ever will. But said cluster is not meant solely to be used for the self-driving stuff, it can be rented out to other companies. They have recently rented out lots of their compute power to both Google and Anthropic. They could do the same with those new chips.
DubiopolisWill the self driving cars be successful or fail?
I would like to say it'll, but not that soon.
Posted on Reply
#8
kondamin
igormpI would like to say it'll, but not that soon.
It already is successful 90% of the time and they know perfectly what to do in the most common situations, it’s just uncommon situations are so diverse it’s going to be very hard to learn how do deal with those particularly peculiar situations
Posted on Reply
#9
Onasi
kondaminIt already is successful 90% of the time and they know perfectly what to do in the most common situations, it’s just uncommon situations are so diverse it’s going to be very hard to learn how do deal with those particularly peculiar situations
The problem with self-driving cars really isn’t their capabilities. As you said, that aspect is progressing nicely and is basically almost there for the majority of situations. The issue is, and will always be, the human drivers (and pedestrians, honestly) behaving in a way that no algorithm can predict and react to. In pure theory, the safest roads are ones where no human driven vehicles remain. A pipedream for a while, to be sure.
Posted on Reply
Nov 12th, 2026 04:40 CST change timezone

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