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Microsoft Works with OpenAI on ‘Stargate’ Data Center

Microsoft Works with OpenAI on ‘Stargate’ Data Center

By Adam Pease

Microsoft Works with OpenAI on ‘Stargate’ Data Center

Microsoft and OpenAI are collaborating to build a large new data center, called Stargate. The $100B project would help OpenAI train and deliver their models, but many details remain to be spelled out.

What Is Stargate?

Stargate is an ambitious data center project, which, if completed, could lead to the creation of the world’s largest data center. Microsoft has already leveraged its partnership with OpenAI through Azure to deliver AI services to enterprise customers. In AI, where access to computing is king, this project represents a major bid to advance the partners’ capacities in training models and delivering AI-based services.

However, the report that initially uncovered news of Stargate points out that the computer’s release will depend on OpenAI’s product strategy, and its ability to release models and deliver in the following year. Despite its first-mover advantage, OpenAI has met serious challenges from players like Google and Anthropic.

The Next Era of AI Will Require Superhuman Compute

The news about Stargate confirms what many already suspected about the development of AI. Extending beyond our current capabilities will require a comparably massive investment in data centers to train and deploy models. On one hand, it shows the immense costs of scaling AI, but on the other hand, it suggests that leading providers remain confident that scaling will be an effective way to continue improving capabilities.

The Stargate project also suggests that Microsoft and OpenAI acknowledge Google’s advantage in raw computing and are setting themselves up to compete in this area. While OpenAI’s models have dominated the discourse on AI, Google’s TPU production puts it in a position where it may soon have more combined computing power than other major AI firms combined. Stargate could help equalize this balance.

Bottom Line

For now, Stargate faces an uncertain future, with its release seemingly dependent on OpenAI’s software offerings, it remains to be seen how this ambitious data center project will unfold.

 


 

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This blog is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 35: Zoom’s New Generative AI Push

Blog 36: Google Will Flag AI-Generated Content

Blog 37: Writer Is Helping Bring Generative AI to the Enterprise

Blog 38: ChatGPT Gains Internet Access

Blog 39: OpenAIs DALL-E 3 Meets Bing AI Services: A New Era in Image Generation

Blog 40: AI’s Integration into Modern Healthcare

Blog 41: Nvidia and the Escalating Chip War With China

Blog 42: Universal Music Group Takes Anthropic AI to Court for Copyright Infringement

Blog 43: OpenAI Extends ChatGPT Cut-Off Window

Blog 44: OpenAI Introduces Custom GPTs

Blog 45: Meta Dissolves Responsible AI Team Amidst OpenAI Shakeup

Blog 46: Generative AI and the Workforce: Klarna Freezes Hiring to Focus on AI Productivity

Blog 47: New Google Paper Exposes ChatGPT Security Risks

Blog 48: Will AI Newscasters Take Over?

Blog 49: The Smart Water Bottle | Tech Gifts for 2024

Blog 50: Looking Forward to Generative AI in the New Year

Blog 51: Nvidia Makes Play for AI-At-Home with New Chip Line

Blog 52: AI Convincingly Mimics Human Handwriting

Blog 53: AI and the Future of Work: Navigating Through Change

Blog 54: Microsoft and Semafor: Shaping the Future of AI-Assisted Journalism

Blog 56: Navigating New Frontiers: California’s Proposed AI Regulations

Blog 57: OpenAI Stuns with New Generative Video Model: Sora

Blog 58: Microsoft’s New Deal With Mistral AI

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Blog 60: The Evolving Landscape of AI Risk

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