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Google has expanded its open AI model family by launching Gemma 4 and has made it available under the Apache 2.0 license. With this new license, developers and researchers can easily modify, deploy and build these AI models according to their needs.
This move strengthens Google’s open-source AI strategy. Gemma 4 has been designed to run across environments, from small devices to large-scale systems, giving developers the flexibility to work on different platforms.
With this update, Gemma now comes under a more flexible licensing framework, making it easier to build, share and use AI tools across education, research and skill development.
Kent Walker, President of Global Affairs at Google & Alphabet, said that empowering developers and researchers is key to unlocking the full potential of AI. He added that the launch of Gemma 4 under the Apache 2.0 license reflects Google’s belief in open collaboration.
Open licensing gives developers greater control
Gemma 4 includes models with up to 31 billion parameters, making it one of the most powerful open models to date. By adopting the Apache 2.0 license, many restrictions are removed, allowing developers to easily customize models for their specific needs.
Google stated that the release is designed around three core requirements: freedom to modify models, the ability to deploy them in preferred environments (including local systems) and clarity around licensing rights.
The company also shared that Gemma models have been downloaded more than 400 million times and that over 100,000 community-built variants exist, collectively referred to as the “Gemmaverse.”
Major benefits for EdTech and skill development
Due to the Apache 2.0 license, it will become easier and more cost-effective for EdTech companies, startups and educational institutions to build AI tools. Institutions can now create custom, local and secure (private) AI solutions without relying on large and expensive platforms, giving smaller startups and colleges equal opportunities.
Schools and universities will be able to build AI-based learning platforms, personalized education systems and automated assessment tools. For example, AI can analyze a student’s learning pace and weaknesses to generate customized content and tests.
Additionally, models like Gemma 4 can support multilingual education, helping students learn in their native languages especially important in countries like India. This can improve the quality of education in rural and remote areas.
The skill development sector will also see major changes. Institutions can make courses like AI, machine learning, data science and automation more practical and hands-on. Students will gain real-world experience by directly working with AI models.
Companies can also create custom training programs for employees, helping them quickly upskill according to new technologies. This will also create new employment opportunities.
With the demand for AI skills growing rapidly, open models like Gemma 4 provide developers, students and researchers with a strong platform to learn, experiment and innovate. This can bring significant transformation in digital education and employment in the future.
Growing use in the real world
Google highlighted that Gemma models are already being used in various sectors, including government systems in Ukraine and multilingual projects in India. This shows that these models are not limited to research but are also solving real-world problems.
This initiative is part of Google’s long-term open-source strategy, which includes technologies like Kubernetes, Android and Go, as well as foundational AI contributions such as Transformers and JAX.
A step towards the future of open AI
Google has positioned Gemma 4 as an open platform for experimentation and deployment, where developers and researchers can innovate and expand its use across sectors. The company expects that this model will accelerate AI innovation and lead to the development of new solutions in the future.
