xAI has completed its third major datacenter facility, Colossus 3. When combined with Colossus 1 and Colossus 2, the company's total datacenter footprint reaches approximately 2.5 million square feet. The three operational sites converge into a unified supercomputing infrastructure capable of delivering nearly 2 gigawatts of computational power. In terms of hardware, this translates to over 1 million GPUs distributed across the facilities. Industry estimates suggest the total capital investment across all three sites exceeds $35 billion. The scale of this infrastructure deployment represents a significant leap in computational resources available for large-scale AI model development and deployment.
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TokenTherapist
· 01-09 02:53
Spending 3.5 billion just to train models—this firehose of money burning is truly incredible.
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WalletDetective
· 01-09 02:52
Spending 3.5 billion dollars just to train that AI... This arms race really never ends.
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PrivacyMaximalist
· 01-09 02:52
Damn, 3.5 billion USD poured in just to train that thing? Can it outperform GPT-4?
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OnlyOnMainnet
· 01-09 02:37
Spending 3.5 billion just to develop large models, this bet is really a big one.
xAI has completed its third major datacenter facility, Colossus 3. When combined with Colossus 1 and Colossus 2, the company's total datacenter footprint reaches approximately 2.5 million square feet. The three operational sites converge into a unified supercomputing infrastructure capable of delivering nearly 2 gigawatts of computational power. In terms of hardware, this translates to over 1 million GPUs distributed across the facilities. Industry estimates suggest the total capital investment across all three sites exceeds $35 billion. The scale of this infrastructure deployment represents a significant leap in computational resources available for large-scale AI model development and deployment.