Billion

American information technology company Meta has made a massive investment of $30 billion in NVIDIA GPUs for AI training, as revealed by Meta’s AI head, Yann LeCun. LeCun mentioned upcoming variations of Llama-3 during fine-tuning and training at the AI Summit. 
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Meta procured 500,000 additional GPUs, totaling a million and valued at $30 billion.&nbsp;LeCun emphasized computational limitations and GPU costs as hampering progress. Despite Meta’s massive GPU use, Sam Altman from OpenAI plans to spend $50 billion annually on AGI development, using 720,000 NVIDIA H100 GPUs costing $21.6 billion.&nbsp; 
This investment surpasses the Apollo space program’s costs, highlighting escalating expenses in AI development. OpenAI and other tech giants are also investing heavily in GPUs, aiming to boost AI capabilities.&nbsp; 
Microsoft targets 1.8 million GPUs by year-end, while OpenAI plans for 10 million. NVIDIA continues GPU production, supporting AI advancements. LeCun stressed the need to scale learning algorithms across GPUs efficiently for cost reduction.&nbsp; 
As advancements continue, AI companies may lower costs while sustaining demand. The race for AI superiority drives significant investments, shaping the future of technology. 
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow"> 
 Also Read: <a href="https://www.cryptotimes.io/2024/04/19/meta-platforms-introduces-llama-3-and-image-generator/" target="_blank" rel="noreferrer noopener">META Platforms Introduces Llama 3 and Image Generator</a> 
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Meta Invests $30 Billion in NVIDIA GPUs for AI Training

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