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The increasing cost of powering generative artificial intelligence (AI) may hinder its expansion, warns Lidiane Jones, the newly-appointed CEO of Slack, a messaging business. As the demand for this technology grows exponentially, the need for powerful chips, called graphics processing units (GPUs), has also escalated.

Unfortunately, this surge in demand has resulted in a shortage of GPUs, leading to higher costs for customers and causing significant concerns for tech companies. Jones, in her first interview with British media since assuming her role, expressed her preoccupation with this issue and the potential limitations it may impose on customer adoption rates.

The excessive cost of powering generative AI is an industry-wide concern, prompting technology companies to devise strategies to mitigate the effects. Balancing affordability and availability of GPUs is crucial for continued growth and widespread adoption of generative AI across various sectors.

In light of this concern, companies are exploring alternatives to traditional GPUs to minimize costs and improve accessibility. Research and development efforts are focused on finding efficient and affordable solutions, such as specialized AI chips or other advanced computing systems that can reduce the reliance on GPUs.

Jones emphasizes the importance of addressing this challenge to ensure a healthy and sustainable growth trajectory for generative AI. Overcoming the cost limitations will not only benefit technology providers but also enable businesses and individuals to fully harness the potential of generative AI, ultimately enhancing productivity and innovation.

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The Rising Cost of Powering Generative Artificial Intelligence Could ... - Fagen wasanni