Atlassian Corp. today announced an expansion of its multiyear partnership with Google Cloud that includes deepening integrations between its Rovo agent platform and Google Workspace and Gemini Enterprise while committing to running key artificial intelligence training workloads on Google’s infrastructure.

With the announcement, made at Google Cloud Next ’26 in Las Vegas, Atlassian is building a training and inference stack on Google Kubernetes Engine and Google Cloud’s AI Hypercomputer.

The unified orchestration layer, engineered by Atlassian, is designed to scale workloads across high-performance graphics processing units and Google’s custom Tensor Processing Units. Key Rovo training workloads are already running on the infrastructure, with early results delivering faster and more relevant answers pulled from customers’ organizational knowledge.

Google’s Gemini 3 Flash model will also power select Rovo capabilities, giving joint customers access to one of the more efficient large language models on the market.

According to Atlassian, the model will be applied to complex reasoning, multimodal tasks and summarization at enterprise scale, while the company preserves flexibility to swap in other models for specific use cases. The recently launched Remix in Confluence feature, which converts text-based documentation into diagrams and charts, is among the first to tap Gemini 3 Flash’s multimodal capabilities.

The expanded partnership also sees the introduction of a set of cross-product integrations that are designed to meet users in the tools they already use.

Rovo is now accessible directly inside Gemini Enterprise to allow customers to bring Atlassian context into Gemini-powered agents without custom integration work. In the other direction, Google Workspace can now answer Atlassian-specific queries through the Atlassian Rovo Model Context Protocol server, letting users pull Jira data into Google Docs or Gmail without switching tabs.

Atlassian has also signed on as an early access partner for the Google Workspace MCP server, which will bring Google capabilities into Atlassian experiences. The companies say joint customers will be able to automate workflows that span both platforms, creating an AI-assisted pipeline from idea through production.

“With Google Cloud, we’re co-engineering the infrastructure and AI agents that teams will rely on to deliver mission-critical work,” said Jamil Valliani, head of product for AI at Atlassian. “By combining our AI-powered system of work and Rovo with Google Cloud’s leading AI stack, we’re giving customers more choice and powerful agentic workflows to improve how work gets done.”

Satish Thomas, vice president of applied AI and platform ecosystem at Google Cloud, added that “by deepening our partnership with Atlassian, we’re embedding the power of Gemini Enterprise and Google Workspace directly into the teamwork stack.”

Photo: Atlassian