MatX

“Make a really large systolic array. You can't beat that in area or power efficiency.”

“Take a really large systolic array, but have a way to split it up into pieces without losing efficiency. So sort of that is the core of the design for us.”

“The ideal, which companies tend to hit about 50% of the time is that your first tape out costs like thirty million dollars your first... The ideal is that your first tape out is actually, is your production thing. So you do a tape out, you make maybe a thousan…”

“We think probably the main thing will be similar to where NVIDIA is at, which is four bit precision.”

“It is actually possible to do both in the same chip. You, it's kind of an obvious thing. You say you take the HPM, you take the SRAM, put them together in the same chip, you put the weights in SRAM, and you put the all of the inference data in HPM. That is wha…”

“So our ML team is actual, real ML research. What they do every day is they train small LLMs from scratch, focusing on numerics and attention.”

“Our product is both training and inference, but I think the first sales will be an inference. That's mostly just a market effect where It's easier to buy, like, it's not as big of a risk to go to buy an inference cluster than as a training cluster.”

“So we this is a we've raised a series B round. It's led by Jane Street and Situational Awareness Situational awareness, that is Leopold Ashenbrenner's fund. He wrote the definitive book on, on, on where, on AGI and where it's going. And then Jane Street, they'…”