Crypto AI Projects would face Huge Costs to Fulfill Their Ambitions
How many Graphics Processing Units (GPUs) will be required to make text-to-video generation mainstream? Hundreds of thousands – and more than are currently in use by major tech giants.
The first demo of OpenAI’s text-to-video generator Sora garnered a lot of attention, sparking a surge in the value of AI tokens in the crypto market. Consequently, several crypto AI projects have emerged, aiming to develop similar text-to-video and text-to-image generation technologies, leading to a significant $25 billion market capitalization for AI tokens.
According to a recent research report by Factorial Funds, it would take around 720,000 high-end Nvidia H100 GPUs to support popular content creator platforms like TikTok and YouTube. The computation power required for projects like Sora is immense, with up to 10,500 powerful GPUs needed for training and specific limitations on video generation capacity per GPU.
In terms of cost, it would amount to approximately $21.6 billion to acquire the necessary GPUs for mainstream AI-generated text-to-video production, almost equivalent to the current market cap of AI tokens. This portrays a significant challenge in scaling up such projects due to the sheer volume of resources required.
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In Conclusion
While the prospect of text-to-video generation using AI presents an exciting opportunity for various industries, the daunting hardware demands and associated costs suggest that widespread adoption may still be a distant reality. As the technology continues to evolve, platforms like eToro can offer valuable support and resources for individuals looking to explore the world of crypto investments.
*Disclaimer: This article is for informational purposes only and should not be construed as financial advice. Invest responsibly and conduct thorough research before making any investment decisions.*
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