$Super Micro Computer (SMCI.US)$ the wording on the 10k form before the February 25th deadline was " they believe it will be filed on the 25th" according to watching the Schwab network on YouTube. Risking delisting & they "believe" they will be on time. Not very strong words. I am out.
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![Picture](https://sgsnsimg.moomoo.com/sns_client_feed/151683805/20250204/1738621103140-random3515-151683805-android-org.jpeg/thumb?area=102&is_public=true)
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$Palantir (PLTR.US)$ up 40% YOY is my bet
$NVIDIA (NVDA.US)$ Grok AI said,
Based on the available information:
Number of NVIDIA Chips: There are conflicting claims regarding the number of NVIDIA chips DeepSeek used. While some sources mention DeepSeek used a cluster of more than 2,000 NVIDIA chips for training its V3 model, posts on X and statements from industry figures suggest that DeepSeek might have used as many as 50,000 NVIDIA chips. However, these claims are not uniformly verified, and there's significant skepticism regarding th...
Based on the available information:
Number of NVIDIA Chips: There are conflicting claims regarding the number of NVIDIA chips DeepSeek used. While some sources mention DeepSeek used a cluster of more than 2,000 NVIDIA chips for training its V3 model, posts on X and statements from industry figures suggest that DeepSeek might have used as many as 50,000 NVIDIA chips. However, these claims are not uniformly verified, and there's significant skepticism regarding th...
$NVIDIA (NVDA.US)$ Ask AI about the other AI. lol. Google Gemini says
DeepSeek, a Chinese AI startup, used a significant number of Nvidia GPUs to train its AI models.
* DeepSeek-R1: This reasoning model utilized 2,048 Nvidia H800 chips for training, according to a research paper published by the company.
* Overall Scale: DeepSeek is reported to have a substantial GPU cluster, with estimates ranging from tens of thousands to potentially 50,000 Nvidia H100 GPUs.
It's important to note that the ex...
DeepSeek, a Chinese AI startup, used a significant number of Nvidia GPUs to train its AI models.
* DeepSeek-R1: This reasoning model utilized 2,048 Nvidia H800 chips for training, according to a research paper published by the company.
* Overall Scale: DeepSeek is reported to have a substantial GPU cluster, with estimates ranging from tens of thousands to potentially 50,000 Nvidia H100 GPUs.
It's important to note that the ex...
$NVIDIA (NVDA.US)$ Aussie take on it
- YouTube
- YouTube
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$NVIDIA (NVDA.US)$ $130 post market - cash in
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