Google has released VaultGemma, a new 1-billion parameter open model that marks a significant step forward in privacy-preservingAI. While the privacy measures result in a trade-off in raw performance, VaultGemma establishes a powerful new foundation for developing safer AI. A New Frontier in AI PrivacyThe release of VaultGemma directly confronts one of the biggest challenges in AI development: the inherent privacy risk in training models on vast, web-scale datasets. A key design choice was reducing the sequence length to 1024 tokens, which helps manage the intense computational requirements of private training. The Price of Privacy: Performance and BenchmarksThis rigorous privacy comes at a cost.