Elon Musk and Oracle founder Larry Ellison almost gave Nvidia CEO Jensen Huang a ticket to buy more GPUs begged.
Generative AI systems like ChatGPT are powered by GPU clusters on large servers. The vast majority of these GPUs come from Nvidia, but Nvidia has limited production capacity and works with so many large customers that it can’t provide enough GPUs for everyone. Giant technology companies have been competing with each other to get more GPUs from Nvidia for a long time. Even Elon Musk and founder of Oracle Larry Ellison, they met for dinner Nvidia CEO Jensen Huang begged to get more GPUs. Larry Ellison told Jensen Huang, “Please take our money; no, take more. You are not taking enough; we want you to take more of our money, please sell us more GPUs” he says what he says.
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Elon Musk recently announced the launch of a full 100,000 liquid-cooled Nvidia H100 (very powerful GPU system focused on AI training) announced that he has started working. The latest statement from Elon Musk on the subject is as follows: It happened: “This weekend the xAI team brought our “Colossus” 100k H100 training cluster online. This system was completed from start to finish in 122 days and Colossus is currently the most powerful AI training system in the world. Moreover, it will double in a few months and reach 200 thousand (50 thousand of which are H200).”
Elon Musk, “The world’s most powerful artificial intelligence education system” from this fog he said, It will allow Grok to become much more advanced and intelligent in a short time.. Musk also said, ““The infrastructure will provide a significant advantage for training the world’s strongest AI by any metric by December of this year.” the center he said, It cost the company a lot of money but gave it a much stronger hand in training large language models, which is at the heart of LLM, or generative artificial intelligence.
Musk had previously said the following on this subject: “The reason we decided to build 100,000 H100s and the next big system in-house is because our competitiveness depends on being faster than other AI companies. That’s the only way to catch up. If our destiny depends on being the fastest by a long shot, we should be the ones steering the wheel, not the backseat passenger.”