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Technology analysis and market type, architecture, packaging, application, and industry vertical, in addition to calculations for the costs associated with leading-edge AI chips.
The global AI chips market will grow to US$257.6 billion by 2033, with the three largest industry verticals at that time being IT & Telecoms, Banking, Financial Services and Insurance (BFSI), and Consumer Electronics. Artificial Intelligence is transforming the world as we know it; from the success of DeepMind over Go world champion Lee Sedol in 2016, to the robust predictive abilities of OpenAI’s ChatGPT, the complexity of AI training algorithms is growing at a startlingly fast pace, where the amount of compute necessary to run newly-developed training algorithms appears to be doubling roughly every four months. In order to keep pace with this growth, hardware for AI applications is needed that is not just scalable – allowing for longevity as new algorithms are introduced, while keeping operational overheads low – but is also able to handle increasingly complex models at a point close to the end-user. A two-pronged approach, to handle AI in the cloud and at the edge, is required to fully realize an effective Internet of Things.
AI Chips 2023-2033
For more information, visit https://www.idtechex.com/en/research-report/ai-chips-2023-2033/937. Technology analysis and market forecasts for the global

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