Accelerated Understanding
topic on 1 show · 7 statements across 1 episodes · said 10 times in 1 episodes since 2026
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Jenik: Accelerated Understanding targets semiconductors and energy as primary commercial markets
“So if you look at areas that are obviously very interesting right now, because everybody needs improvement there, the big ones to everybody are semi and energy, and those are precisely right in our wheelhouse.”
Jenik: Accelerated Understanding's medium-sized physics models run inference on Mac Studios
“We have done inference on, like, we can do small models with smaller context, or even medium big models with smaller context fit on a MacBook or Mac Studio.”
Jenik: A single 5-trillion-token model run generated 22 terabytes of output
“Like, for example, our five trillion run that we did, the outputs were 22 terabytes, and you want that kind of stuff in accelerator memory.”
Anandkumar: Multi-physics models outperform single-physics models of equivalent parameter size
“And in fact, I was going to add that it turns out that having the model of the same size with multiple areas of physics does better than giving all of those parameters to each single physics. So if you had separate models and made them big enough as the origin…”
Jenik: Accelerated Understanding has trained physics models up to 1-trillion parameters
“We've trained, done hundreds of training runs. We've trained up to a trillion parameter models. So we've really shown the stuff to take off.”
Jenik: Accelerated Understanding achieved 5-trillion token inference context length
“Like we're able to train up to a trillion context input. We're able to train With like, even inputs, outputs, both trillion context length, we are able to do inference at five trillion contexts.”