31–40 of 45 posts
Earlier quoted context omitted.
I’m assuming this is visually just some racks in (probably) Azure data centers and is leased not owned.
That is also what I suspect. Otherwise where would they get two thousand H100s?
Even the leasing model has made a comeback!
Edit: Based off this tweet, looks very similar https://twitter.com/LambdaAPI/status/1668676838044868620
Y'all could totally eat Meta's lunch and train an open LLM with all the innovations that have come since LLaMA's release. Other startups are trying, but they all seem bottlenecked by training time/resources.
This could be where the next Stable Diffusion 1.5 comes from.
Earlier quoted context omitted.
That would be mostly heatsinks, right? If you switch to liquid cooling does your score change?
> That would be mostly heatsinks, right? If you switch to liquid cooling does your score change? You still need a radiator with liquid cooling. It just makes the setup more fragile. And lets you use a bigger cooler/fan.
Looks like they've reserved a bunch of compute from Lambda Labs? Edit: Based off this tweet, looks very similar https://twitter.com/LambdaAPI/status/1668676838044868620
Same guys behind https://aigrant.org , maybe it's mainly as a way to get dealflow?
And to support startups we invest in who need GPUs!
Your take on hardware-enabled investment would be interesting.
We also have folks like Hugging Face’s GPT Research Lead, Langchain and LlamaIndex founders, Cerebras’s CEO and many more speaking. It’s A builder-heavy audience.
* this is my event