Google lagged behind Microsoft in launching artificial intelligence (AI)-powered products and it is now making increased efforts in catching up with the competitors. Recently, the company combined Google Brain and DeepMind AI teams into one, and now it reportedly moved the engineering team responsible for making AI chips into Google Cloud. Citing a Google spokesperson as saying, a report by The Information said that the team at the company which was engineering artificial intelligence chips has been shifted to the Google Cloud sector.
“Google has moved the engineering team responsible for making artificial intelligence chips into Google Cloud, a spokesperson confirmed, in a step that could make the cloud unit more competitive with its bigger rivals, Microsoft and Amazon Web Services, in selling AI-powered software to businesses,” the report read.
Google competes with Amazon and Microsoft in the Cloud space. According to market research platform Statista, in the third quarter of 2022, Amazon Web Services (AWS) held a 34% market share. Microsoft’s Azure held 21% while Google Cloud captured 11%.
AI cloud race: Google vs Microsoft In March, Microsoft announced that ChatGPT was available in preview in Azure OpenAI Service. Microsoft invested billions in ChatGPT-maker OpenAI to work to bring chatbots to its search engines and products for users.
Google, which has been an “AI-first company since 2016,” released the Bard chatbot earlier this year. Just like merging two AI teams together “to ensure the bold and responsible development of general AI,” Google’s shifting of the AI chip engineering team may be a sign of it focusing on AI-powered cloud offerings.
“The move is the latest sign of how Google is scrambling to respond to Microsoft and OpenAI, whose successful launch of ChatGPT—a chatbot now incorporated into Microsoft’s Bing search engine—threatens to erode Google’s long-standing dominance of search,” the report said.
“This week Google also combined its two AI research labs, DeepMind and Google Brain, in an effort to speed its AI work,” it noted.
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