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How many GPUs to train GPT 4?
How many GPUs to train GPT 4?
TaegeukChampionship
Sat Jul 20 2024
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8 answers
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Inquiring minds want to know: Just how many graphical processing units (GPUs) are required to train the highly anticipated GPT 4, the next generation of OpenAI's groundbreaking language model? With each iteration bringing increased complexity and capabilities, the computational demands for such an endeavor are surely immense. Are we looking at a few hundred, or perhaps thousands, of GPUs to reach the level of performance expected from GPT 4? The answer may reveal the true scale of the technological feat that lies ahead.
8 answers
Elena
Mon Jul 22 2024
The entire training duration spanned 100 days, demanding a continuous investment of time and resources.
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Daniele
Mon Jul 22 2024
The training utilized 25,000 NVIDIA A100 GPUs, representing a massive computational power.
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benjamin_brown_entrepreneur
Mon Jul 22 2024
GPT-4, a state-of-the-art language model, required significant resources for its training.
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MysticRainbow
Mon Jul 22 2024
These NVIDIA A100 GPUs, when deployed in servers, consume approximately 6.5 kW of power each.
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Gianluca
Mon Jul 22 2024
With such a large number of GPUs in use, the energy usage during training is substantial.
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