OpenAI expands cloud presence to Google, following earlier AWS integration
OpenAI will make its AI models available on Google Cloud for developers, marking a shift after years of competition between the tech giants.

Key points
- OpenAI is launching its AI models on Google Cloud’s model garden and Antigravity coding tool.
- The rollout is scheduled for the coming weeks, following an April launch on Amazon Web Services.
- This move represents a partnership between two companies that have historically competed in the AI sector.
OpenAI is expanding its cloud infrastructure partnerships by making its artificial intelligence models available on Google Cloud. According to a report by CNBC, this integration will allow developers to access OpenAI’s technology through Google’s platform. The announcement signals a continued effort to broaden the reach of these AI tools beyond OpenAI’s own proprietary systems.
The availability on Google Cloud includes access via the model garden and the Antigravity coding tool. This development follows the company’s earlier launch on Amazon Web Services in April. The move highlights a strategic shift, as OpenAI and Google have been competitors in the artificial intelligence space for several years.
What we know
The integration will enable developers to utilise OpenAI’s models directly within Google’s ecosystem. This follows the initial partnership with AWS, which began in April. The timing of the Google Cloud launch is set for the coming weeks. The decision to partner with Google is notable given the historical rivalry between the two technology firms in the AI market.
Defender's checklist
- Review current cloud provider contracts to understand how third-party AI models are integrated into existing workflows.
- Assess data privacy policies regarding the use of external AI models on public cloud platforms.
- Monitor official announcements from cloud providers for updates on new AI tool availability and security guidelines.
- Evaluate the need for additional access controls when enabling new AI capabilities for development teams.
The background in plain language
When companies partner on cloud infrastructure, they allow their technologies to work together seamlessly. This means developers can use one company’s tools alongside another’s services without complex setup. Such collaborations often occur between former competitors to offer customers more choice and flexibility. Teams usually evaluate these integrations for security and compatibility before adoption.
Background: Data privacy
Data privacy principles are the rules governing how personal information is collected, used, and stored. They require organisations to limit data collection to what is strictly necessary, keep it secure, and allow users to control their information. Understanding these principles helps you identify when a service respects your boundaries and when it exploits them for profit or surveillance.
Read the full guide: Data Privacy Principles: How to Protect Your Digital Life
What to do and how to stay safe: OpenAI
- Check your organisation’s cloud security policies to see if they cover the use of third-party AI models.
- Verify that data handling procedures comply with privacy regulations when using external AI services.
- Monitor vendor documentation for any changes in how AI models are accessed or secured on cloud platforms.
- Ensure development teams are aware of the new tools and trained on their appropriate and secure use.
Step-by-step guide: AI Governance for Small Teams: Practical Controls and Cost
General security guidance from the TechWire Beat newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
When will OpenAI models be available on Google Cloud?
OpenAI states that its models will be available on Google Cloud in the coming weeks.
Which Google Cloud services will host OpenAI models?
The models will be available through Google Cloud’s model garden and the Antigravity coding tool.
Did OpenAI launch on other cloud platforms before this?
Yes, OpenAI launched its models on Amazon Web Services in April, prior to this Google Cloud announcement.



