Google Launches Gemma 2 Open Models With Competitive Performance at Lower Cost

Google has released Gemma 2, its next-generation open AI model family, available in 9 billion and 27 billion parameter sizes. The 27B model is built on a redesigned architecture featuring a hybrid attention mechanism and is capable of running on a single NVIDIA H100 or A100 80GB GPU, significantly reducing deployment costs. Google claims the 27B version delivers performance competitive with proprietary models more than twice its size, while the 9B model reportedly outperforms rivals like Meta's Llama 3 8B. The models are accessible via Hugging Face, Kaggle, and Google AI Studio, with support for PyTorch, JAX, and TensorFlow frameworks. Google also announced plans to open-source its SynthID text watermarking technology for Gemma models, adding a layer of AI safety and content provenance tooling.