Revenue from chips used to run artificial intelligence (AI) workloads could reach $53.4 billion this year and is expected to continue growing to $119.4 billion in 2027, according to research firm Gartner.
The development of generative AI is driving chip production and deployment, said Alan Priestley, research vice president at GartnerPriestley noted that as AI-based applications increase in data centers, edge infrastructure and endpoint devices, so does the need for high-performance GPUs and optimized semiconductors
In many organizations, he added, the deployment of custom chips will replace current discrete GPUs in workloads involving generative AI
According to Gartner's forecast, the value of artificial intelligence application processors used in consumer electronics will rise from US$558 million to US$1.2 billion in 2023
Mentions the high-performance computing systems required to develop and deploy generative AI services
According to Gartner, many vendors offering high-performance "GPU-based systems and networking equipment" are seeing clear short-term benefits, driven by companies seeking efficient and cost-effective ways to deploy these applications. Long term opportunity
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