Anissa Gardizi, AI infrastructure reporter at The Information, discusses OpenAI's hardware strategy and efforts to reduce dependence on Nvidia GPUs.
Prediction Not checkable as stated
Gardizy: Around 50% of AI data center projects will miss completion deadlines
“But on on projects that are actually getting built, I do think, you know, 50% not really getting done on time is is, you know, what I would expect.”
Prediction Open · timeframe Jul 2028
Gardizy: OpenAI will not deploy 10 gigawatts of data centers within two years
“Like, even if you think of OpenAI, for example, announcing a 10 gigawatt project, you know, we're not going to see 10 gigawatts in the next couple of years, or they're going to sort of spread out that bet.”
Assertion Supported
Gardizy: OpenAI Is Developing In-House Chips and Using Cerebras Hardware
“Yeah, yeah, they are. They're using chips from other companies. Cerebris is a good example, and they have their own in-house chip.”
Prediction Open · timeframe Jun 2028
Gardizi: OpenAI will not deploy 10 gigawatts in the next few years
“Even if you think of open AI, for example, announcing a 10 gigawatt project you know, we're not going to see 10 gigawatts in the next couple of years, or they're going to sort of spread out that bet.”
Assertion Not checkable as stated
Gardizy: Non-NVIDIA Chips Often Need Financial Backstops for Data Center Entry
“And in the instances that I'm seeing where there are non Nvidia chips, it's because of some sort of financial backstop. So I do wonder how much how long that will have to keep being the case, because that will definitely hinder non Nvidia chips if they need Sp…”
Assertion Not checkable as stated
Gardizy: Major NVIDIA customers are actively working to adopt alternative chips
“Every single company that buys NVIDIA chips and is spending a lot of money on NVIDIA chips is trying really hard to make these other, other chips work, whether it's in-house chips from Google or Amazon or even in OpenAI's case and potentially Anthropik's case.”