Lin Qiao is the CEO of Fireworks AI. She explains why finding an optimal AI model configuration is a complex search problem similar to compiler query optimizers.
“And all these different options add up together, it can lead into more than 80,000 possible, possible way to optimize.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
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More from Lin Qiao
PredictionNot checkable as stated
Lin Qiao predicts a 10x AI cost reduction yields 100x more applications
“If this bar can be lowered by 10 times, you can imagine there's so many more, it will be hundred times more applications enter the, this arena to create a brand new experience to end consumers and prosumers. And by that, we'll see a much bigger consumption acr…”
Lin QiaoMar 27, 2025▶ 51:56Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
For AI applications, moats lie in curated data rather than user experience
“Their mode is probably not the user experience, but because it's very easy to copy. Anyone can study the product and copy. Their mode is data.”
Lin QiaoMar 27, 2025▶ 54:20Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
PredictionNot checkable as stated
Lin Qiao: The future of AI modeling belongs to open-source models
“The future of the future of modeling sits on open model side. And I believe that side is gonna be much more active in creating those hundreds or maybe thousands of expert models that is specialized delivering much better quality in certain domain.”
Lin QiaoMar 27, 2025▶ 57:29Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
AssertionNot checkable as stated
DeepSeek runs each single model replica across more than 300 GPUs
“DeepSeq actually that company itself was running and still running this model over more than 300 GPUs. So think about this deployment. One replica is 300 GPUs, and there are so many different, so many more replicas.”
Lin QiaoMar 27, 2025▶ 36:10Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
Lin Qiao: AI frameworks must reconcile researcher flexibility with strict production cost and latency constraints
“For researchers, you want the flexibility. You want ease of use. You want them to just think about what's possible, right? And for production, it's a constraint problem solving. As in, you have latency budget, you have cost budget you want to scale, you want t…”
Lin QiaoMar 27, 2025▶ 4:44Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
Lin Qiao: PyTorch's primary success lesson is that simplicity scales
“I think one of the biggest success we saw from the PyTorch experience is simplicity scales.”
Lin QiaoMar 27, 2025▶ 16:26Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
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