Distro

9 statements across 1 episodes · 8 bullish · 0 bearish · 1 people on the record · first statement Oct 1, 2024 by Jeff Schmidt · said 47 times in 1 episodes since 2024 · across every show →

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brought up most by Anjney Midha (24), Jeff Schmidt (4)

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2024 47 mentions in 1 episode

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Everything said about Distro, oldest first

Oct 1, 2024 bullish
Prediction Not checkable as stated
Schmidt: DisTrO will eliminate data centers' InfiniBand dependency before edge AI dominates
“I think there's, you know, immediately coming out. What you'll see is the ability for even centralized actors who might have multiple data centers to now, like just use them in a more efficient way. Like just have N equals two, you know, like anything. And eac…”
Jeff Schmidt Oct 1, 2024 ▶ 1:09:20 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 bullish
Prediction Didn’t hold up
Schmidt: Decentralized training of 400B parameter AI models is solvable by 2025
“I think it still is, it would still be, you know, like a next year sort of environment thing that we would have to do. There are some scaling problems, or not scaling problems, but technical things about how you shard the model, because at that point you get t…”
Jeff Schmidt Oct 1, 2024 ▶ 54:41 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 bullish
Prediction Not checkable as stated
Schmidt: Decentralized training will force NVIDIA to redesign chips around VRAM ratios
“What might happen sooner would be a redesign of the types of chips that NVIDIA or someone would make. Okay, under this model, we can dedicate more VRAM versus, there's like this question of how much VRAM versus how much processing power is on a die, and that, …”
Jeff Schmidt Oct 1, 2024 ▶ 42:34 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 bullish
Prediction Not checkable as stated
Schmidt: Consumer gaming GPUs will become the sweet spot for distributed training
“Because you're able to distribute it so wide, I think the gaming GPU angle is really going to be like the sweet spot. If, as long as there's continued to be sort of like higher end gaming GPUs, and those are on comparison with the high end training GPUs, even …”
Jeff Schmidt Oct 1, 2024 ▶ 45:39 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 neutral
Assertion Not checkable as stated
Nous Research has trained DisTrO models up to 7 billion parameters
“We've gone up through seven B now, like seven B models.”
Jeff Schmidt Oct 1, 2024 ▶ 35:28 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 positive
Assertion Supported
Nous Research replicates DisTrO training results using Allen AI's OLMo framework
“And we've re-implemented now a third time in their framework, and we're able to reproduce their training run exactly, and then did it again with Distro, got the exact same results we got with Natron and stuff.”
Jeff Schmidt Oct 1, 2024 ▶ 37:50 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 bullish
Assertion Not checkable as stated
DisTrO's performance advantage over AdamW widens as models scale up
“What we have seen empirically is that as we make it bigger, the differential between distro and MW actually gets wider.”
Jeff Schmidt Oct 1, 2024 ▶ 35:35 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 bullish
Insight
Schmidt: Sharing only key signals in distributed training yields equivalent model learning
“We know that like what we, what needs to be communicated between these things, the two, the different nodes are just these few key pieces of information. And that is necessary. That is a necessary condition or rather a sufficient condition To get the equivalen…”
Jeff Schmidt Oct 1, 2024 ▶ 32:42 The Quest for Community-Trained Open Source AI Models
Oct 1, 2024 bullish
Insight
DisTrO trains multiple models in a bounded search space instead of full synchronization
“So with distro, what we found is that rather than bringing everyone back home and averaging it back together, what you want to do is give each of those little nodes that are searching for the lowest point in the lost landscape, the freedom to move around. And …”
Jeff Schmidt Oct 1, 2024 ▶ 1:01:22 The Quest for Community-Trained Open Source AI Models
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