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#aichips

1 post1 participant0 posts today
Replied to bs2
Public
bsmall2

🧵
> DeepSeek also used the same technique to make “reasoning” versions of small open-source models that can run on home computers.
> This release has sparked a huge surge of interest in DeepSeek, driving up the popularity of its V3-powered chatbot app and triggering a massive price crash in tech stocks as investors re-evaluate the AI industry. At the time of writing, chipmaker NVIDIA has lost around US$600 billion in value.

#NVIDIA #AIChips
@bsmall2@mstdn.jp

Public
bs2

> V3 was trained at a reported cost of about US$5.58 million. This is dramatically cheaper than GPT-4, for example, which cost more than US$100 million to develop.
> DeepSeek also claims to have trained V3 using around 2,000 specialised computer chips, specifically H800 GPUs made by NVIDIA. This is again much fewer than other companies, which may have used up to 16,000 of the more powerful H100 chips.
counterpunch.org/2025/01/29/de
#DeepSeek #AISalami #AIChips
#TongliangLiu

CounterPunch.org · DeepSeek: How a Small Chinese AI Company is Shaking up US Tech HeavyweightsChinese artificial intelligence (AI) company DeepSeek has sent shockwaves through the tech community, with the release of extremely efficient AI models
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