OpenAI, the company behind ChatGPT, is apparently planning to develop its own AI chips. While plans are not yet final, the prospect of customized AI chips raises questions about the costs and benefits of such an endeavor.
• OpenAI is thinking about developing its own chips
• ChatGPT is currently supported by hardware from Microsoft and NVIDIA
• Lack of suitable processors
OpenAI is considering developing its own chips
Artificial intelligence (AI) has made significant progress in recent years and the demand for powerful AI systems is constantly growing. OpenAI, the company behind the innovative AI text generator ChatGPT, has impressed in the past with groundbreaking developments in the field of AI. Now the company is setting new standards again by considering developing its own AI chips, according to reports from the Reuters news agency.
However, according to the Reuters article, it is currently unclear whether OpenAI will actually implement its plan to develop its own customized chip. This would be a significant strategic initiative and a significant investment that industry experts say could cost potentially hundreds of millions of dollars annually, according to Reuters. Even if OpenAI committed resources to this task, success would not be guaranteed. With the successful development of its own chips, OpenAI would join the group of large technology companies that also includes Google and Amazon.
Cooperation with Microsoft and NVIDIA
As of 2020, OpenAI has been developing its generative AI technologies on a massive supercomputer built by Microsoft, one of its top backers, that uses 10,000 graphics processing units (GPUs) from NVIDIA, Reuters reports.
Operating ChatGPT involves high costs
The fact that OpenAI is now considering pushing forward with the development of its own chips, despite the successful cooperation with Microsoft and NVIDIA in recent years, has various reasons, according to Reuters: On the one hand, there is a lack of advanced processors that drive the OpenAI software and on the other hand the high costs associated with operating the hardware. As Reuters reports, citing an analysis by Bernstein analyst Stacy Ragson, if ChatGPT usage was one-tenth of that, the capital cost of GPUs would be about $48.1 billion and the operating cost would be another $16 billion per year The scope of the Google search would reach.
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