Early code traces spotted in the web version of Google AI Studio pointed to a new capability labelled “Computer Use,” only to have the references scrubbed hours later. The string appears alongside a system message promising that “Gemma 3 will be deployed as a Cloud Run service in your GCP project. Update your SDK to point to the Cloud Run endpoint,” hinting that AI Studio could let developers spin up containerised Gemma instances from the browser with a single click. Cloud Run already supports GPU-backed serverless inference and scales to zero when idle, making it an obvious home for lightweight open models such as Gemma 3.
"Computer use" getting added to AI Studio pic.twitter.com/rQEhcnvUHl
— Bedros Pamboukian (@bedros_p) May 5, 2025
“Computer Use” is industry shorthand for letting an agent read the screen, move the cursor, and operate native apps—functionality popularised last year by rival platforms and now offered in beta by at least one competing API. Google has been researching a similar agent framework under the internal Jarvis initiative, positioning it as a response to this new class of automation tools. Folding such controls into AI Studio would give the workspace both an orchestration layer and a local execution sandbox, allowing tasks to run on-device while heavier inference is handled remotely on Cloud Run.
Gemma 3 itself is Google’s open-weight sibling to Gemini, marketed as the most capable model that still fits on a single GPU or TPU. Official blogs and documentation already list Cloud Run alongside Vertex AI and GKE as supported deployment targets, with tutorials showing how to package Gemma using vLLM or Ollama and expose a public HTTPS endpoint in minutes. By wiring that path directly into AI Studio, Google could shorten the distance between prompt design and live API, tightening the feedback loop for indie developers and enterprise teams alike.
Whether “Computer Use” ships broadly on AI Studio—or remains an internal experiment—will likely depend on safety evaluations and the company’s evolving agent strategy. For now, the fleeting code commit offers one more signal that Google intends to blend desktop-level control with serverless model hosting, turning AI Studio into a full-stack playground for Gemma and whatever comes after.
