OpenAI 总裁庭审称今年将烧掉 500 亿美元算力
OpenAI exec says it will burn $50B on compute this year
OpenAI 联合创始人兼总裁 Greg Brockman 在周二庭审证词中表示,公司预计到今年年底将在算力上烧掉 500 亿美元,该数字此前由 Bloomberg 报道。文章指出,亚马逊、Nvidia 和软银 2 月宣布的 1100 亿美元投资中至少 800 亿美元附带条件,例如 OpenAI 需租用 2 吉瓦亚马逊 Trainium 加速器并在 AWS 部署 GPT 模型才能拿到 500 亿美元中的 350 亿美元,Nvidia 的 300 亿美元投资则与 5 吉瓦训练和推理算力部署挂钩。
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AI 评分 54
OpenAI 总裁在庭审中给出今年算力支出数字,读者可据此观察其与投资方承诺之间的资金结构。
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AI + ML
If the numbers are large enough, perhaps we won't question the math
An executive for ChatGPT maker OpenAI said in court testimony on Tuesday that the AI model developer expects to burn $50 billion on computing power before the end of the year.
Cofounder and president Greg Brockman threw out the number, which was previously reported by Bloomberg, during OpenAI's closely watched legal battle with hype-fiend Elon Musk.
If it wasn't obvious, that would be $50 billion of someone else's money. Nearly four years after ChatGPT kicked off the AI boom, OpenAI's leadership hasn't yet figured out how to turn a profit. Heck, the company can't even manage to hit its own revenue targets, if recent reports are to be believed.
That hasn't stopped CEO Sam Altman from talking the likes of Microsoft, Amazon, SoftBank, Nvidia and others into issuing press releases claiming plans to invest tens of billions of dollars into his quest for AGI. (Or was it AI superintelligence? The goalposts haven't exactly been fixed in concrete.)
We're not sure if "investment" adequately captures the roundabout financial engineering that's gone into these highly publicized deals. Many are contingent on OpenAI using some of the pledged cash to lease massive quantities of compute either directly from its backers or their partners.
MORE CONTEXT
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Back in February, Amazon, Nvidia, and SoftBank announced a $110 billion investment in the AI startup, at least $80 billion of which came with strings attached.
For example, OpenAI would need to rent two gigawatts of Amazon's Trainium AI accelerators and deploy its top GPT models in AWS to claim $35 billion of the $50 billion promised by the cloud titan.
Similarly, Nvidia's $30 billion investment was tied to the deployment of five gigawatts of training and inference compute capacity at an estimated cost of $300 billion.
In other words, these companies' investments in OpenAI are really more of a discount or rebate. It raises the question: Can OpenAI actually burn $50 billion in 2026, or is it simply throwing out more big numbers in hopes of maintaining an air of unassailable momentum? Place your bets – ideally in the form of burning as many heavily subsidized tokens as you can now, before prices inevitably rise.
We've reached out to OpenAI for comment; we'll let you know if we hear anything back. ®
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