Top Tweets for #TeslaDojo
From Hype to Halt: The Story of Tesla Dojo, Elon Musk’s AI Supercomputer.
#Tesla #TeslaDojo #ElonMusk #TeslaNews #ElonMuskNews #TeslaInnovation #Supercomputer #AIComputing #AISupercomputer #MachineLearning #AI #ArtificialIntelligence #TechComputing
https://t.co/ekc8WhPEQD

#TeslaDojo
👇👇
@WalterIsaacson @elonmusk @teslaenergy @Tesla_Optimus #tesladojo
Status: 2nd generation
Worth the money: No
With long development time and performance subpar to what they can get from @nvidia . The question is whether @elonmusk was sandbagging the actual performance. So for now, wasn’t worth the money.
TSMC stated that Tesla's DOJO supercomputing chip wafers are already in mass production and will soon be extensively deployed.
#TSMC #TeslaDOJO #supercomputing #chip #massproduction #technology $tsla

@Tesla_AI & @Tesla_Optimus seem to me to share the same intelligence... ? with the growing power of #TeslaDojo, is @grok be@grok benefiting or will he also benefit from this one day ?
will @Tesla_Optimus have a fun mode ... ?
While it's not true that they manufacture their own chips, they design the chips currently running in #tesla for #fsd. From what I remember this was 10x faster for the specialized use case with lower power consumption. That doesn't really translate to whether #tesladojo will be 10s of times faster. Here's why:
Driving the car was a specialized use case that the #NVIDIA soc offering wasn't really designed for but was merely an adaptation using an existing architecture, whereas the training of Teslas AI solution using video data is within the typical use case for AI training, which is exactly what the H100 chips that NVIDIA manufactures are designed for. Beating nvidia in this space or even catching up is not likely to occur in one generation, though not entirely impossible.
For #Tesla, it makes sense to bet on DOJO and try to build their own because there is a chance they get some alleviation on their bottleneck of not having enough H100s, but that doesn't mean they'll suddenly outperform NVIDIA. Keep in mind that AMD and Intel are both chasing nvidia as well, with AMD having a much closer IP in their MI instinct GPUs AMD recent breakthroughs have shown some competitiveness, but this is years of the only other GPU manufacturer developing their tech to try to catch up, it would be naive to assume that Tesla will suddenly beat both AMD and Nvidia in semiconductor design for AI.
Of course, I'm hoping that DOJO is a tremendous success, and I'm hoping they can augment their AI training cluster with AMD GPUs in light of the recent breakthroughs, and i know they have people at Tesla exploring this option every day right now.
Anyway, it's reductionist and false to claim Tesla is making their chips in-house. Developed: yes. Manufactured at TSMC. To assume Tesla is also competing with TSMC, INTEL, SAMSUNG, HYNIX, ETC at semiconductor manufacturing shows that you don't really know how this stuff works or the current state of computing technology and its manufacturing paradigms.
Tesla invertirá 500 millones de dólares en construcción de superordenador Dojo en Nueva York.🚀💻 #TeslaDojo

This Could Be the Biggest AI Surprise of 2024
#TeslaNews #TeslaDojo
- Tesla’s Dojo supercomputer represents a significant shift in AI development, focusing on custom AI chips for specific tasks like powering self-driving cars, marking a departure from the reliance on Nvidia’s general-purpose GPUs.
- Major tech companies like Amazon, Alphabet, Microsoft, and Meta are developing their own custom AI chips to optimize their specific services and reduce dependency on Nvidia, indicating a move toward customized AI solutions.
- This trend toward custom AI is expected to reshape the AI industry in 2024, potentially altering the competitive landscape and investment opportunities as companies aim to win the AI race with in-house technologies.
The biggest story in AI right now is one that hardly anyone is talking about.
Yet, it involves the world’s richest men, the world’s most powerful companies, and the world’s fastest computers.
It is the highest stakes story in AI yet. It will determine the winners and losers of the AI Boom in 2024.
And it all starts with Tesla (TSLA) and a little program called “Dojo.”
Additional Reading 👇

Dojo's impact extends beyond self-driving cars. Its powerful capabilities hold immense potential for various fields, from medical imaging to scientific simulations, ushering in a new era of AI-powered breakthroughs. #TeslaDojo #Supercomputing
Are we bullish yet?!?

Tesla Dojo will be headed by a former Apple executive https://t.co/dOVfZfcKjK #TSLA #TeslaDojo #Apple

【最後の晩餐今夜!】米 #CPI 発表!#ビットコイン予想的中!#レッドピル教室「ベストセラー本Four Agreementの教え破るメスゴリ。#ヴィーガン と友達に慣れない説w 相対的vs絶対的真実混合な情弱」
またRTお願いしてもいいですか🥰
https://t.co/BgzQngWGfb
#テスラ #tesladojo #ビットコイン #ブルーピル #ガソリン代高騰 #増税 #生活苦 #備えよ常に #時間軸を制する者はメスゴリも制する
🇺🇸Tesla surges on Morgan Stanley upgrade that sees $600 billion 'Dojo' AI boost $TSLA #TeslaDOJO #AI #Tesla

Morgan Stanley (MS) predicts that Tesla’s supercomputer, Dojo, could bring the automaker’s enterprise value up to $500 billion.
In a recent note to investors, MS analyst Adam Jonas increased TSLA’s price target from $250 to $400 per share.
#TeslaNews #TeslaDojo

NEWS: Samsung is reportedly becoming Tesla’s primary provider for their 5th-generation self-driving chip (HW 5). This advanced chip is expected to utilize a cutting-edge 4nm process, according to news publication Business Korea.
Earlier in May of this year, Elon Musk met with Samsung Chairman Lee Jae-yong in Silicon Valley for the first time.

One final thing in case it wasn't clear: Next year, Tesla's own Dojo supercomputer is projected to rank among the most powerful supercomputers globally. This is insane, and something that not many people are talking about. It's a massive competitive advantage for Tesla.
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