Technology

59594 readers

3301 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

[email protected]

255

Mark Zuckerberg indicates Meta is spending billions of dollars on Nvidia AI chips (www.cnbc.com)

submitted 10 months ago by [email protected] to c/[email protected]

51 comments fedilink hide all child comments

Summary: Meta, led by CEO Mark Zuckerberg, is investing billions in Nvidia's H100 graphics cards to build a massive compute infrastructure for AI research and projects. By end of 2024, Meta aims to have 350,000 of these GPUs, with total expenditures potentially reaching $9 billion. This move is part of Meta's focus on developing artificial general intelligence (AGI), competing with firms like OpenAI and Google's DeepMind. The company's AI and computing investments are a key part of its 2024 budget, emphasizing AI as their largest investment area.

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 4 points 10 months ago

Quality. Yeah, using the extra compute to increase speed of development iterations would be a benefit. They could train a bunch of models in parallel and either pick the best model to use or use them all as an ensemble or something.

My guess is that the main reason for all the GPUs is they're going to offer hosting and training infrastructure for everyone. That would align with the strategy of releasing models as "open" then trying to entice people into their cloud ecosystem. Or, maybe they really are trying to achieve AGI as they state in the article. I don't really know of any ML architectures that would allow for AGI though (besides the theoretical, incomputable AIXI).