
ChatGPT-maker OpenAI goes to one of Microsoft's biggest competitors for more AI computational power
ChatGPT-maker
OpenAI
has said that it expects to use Google's cloud infrastructure for its popular artificial intelligence (AI) assistant. The reach to one of the biggest competitors of Microsoft – the tech giant company that has spent about $13 billion in the company – for additional capacity aligns with its desire for more computing power to meet heavy demand after initially relying exclusively on Microsoft for cloud capacity.
According to a report by CNBC, OpenAI has added Google to a list of suppliers, specifying that ChatGPT and its application programming interface will use the Google Cloud Platform, as well as Microsoft, CoreWeave and Oracle.
The announcement amounts to a win for Google, whose cloud unit is younger and smaller than Amazon's and Microsoft's. Google also has a cloud business with Anthropic, which was established by former OpenAI executives.
The Google infrastructure will run in the US, Japan, the Netherlands, Norway and the United Kingdom, the report added.
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OpenAI's relationship with Microsoft and other cloud deals
Last year, Oracle announced that it was partnering with Microsoft and OpenAl 'to extend the Microsoft Azure Al platform to Oracle Cloud Infrastructure' to give OpenAI additional computing power. In March, OpenAI committed to a cloud agreement with CoreWeave in a five-year deal worth nearly $12 billion.
Microsoft said in January that it had agreed to move to a model of providing the right of first refusal anytime OpenAI needs more computing resources, rather than being its exclusive vendor across the board. Microsoft continues to hold the exclusive on OpenAI's programming interfaces.
OpenAI and Microsoft's relations have evolved since last year, with Microsoft naming OpenAI as a competitor last year as both companies sell AI tools for developers and offer subscriptions to companies.
Sam Altman, OpenAI's co-founder and CEO, said in April that the startup, which draws on Nvidia graphics processing units to power its large language models, was facing capacity constraints.
'if anyone has GPU capacity in 100k chunks we can get asap please call!' he wrote in an X post at the time.
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