Some large-scale crypto miners are looking for new ways to make money as demand for GPU-powered mining operations(opens in new tab) has significantly decreased over the last year. Some are hoping to turn that processing power elsewhere: to help train AI.
According to Bloomberg(opens in new tab), some crypto mining companies have pivoted their business towards high-performance computing (HPC) services for customers working with AI. And they're doing pretty well with it: Hut 8 Mining, for instance, told Bloomberg that its HPC business had generated approximately $16.9 million from its AI clients. Hive BlockChain bought $66 million worth of GPUs from Nvidia for its HPC endeavors and is projected to make about $98 million in revenue by the end of 2024.
Even Nvidia boss Jensen Huang predicts that AI models will become a million times more powerful within the next decade(opens in new tab) and expects to see the rise of «AI factories worldwide» to meet the ever-growing workload demands. And the amounts of money on the table are staggering: For example, it costs OpenAI somewhere between $700,000 to $1 million(opens in new tab) daily to operate its AI chatbot, ChatGPT.
However, converting a crypto-mining operation to high-performance computing for AI can be challenging and costly, because it often requires a significant hardware upgrade. Nvidia’s H100 Tensor Core GPUs(opens in new tab), made for AI deep learning tasks, can cost over $10,000 each.
Finding the cash to finance those conversions might be a problem since some of the biggest crypto lenders struggleto get paid (opens in new tab)from Bitcoin miners, often getting stuck with loads of useless mining rigs instead of the actual money they're owed. This means lenders might
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