The perfect way for Google to screw over OAI and Anthropic is by releasing a 120B dense multimodal Gemma model
Summary
Google is suggested to release a 120B dense multimodal Gemma model to compete with OpenAI and Anthropic, targeting Western enterprises wary of Chinese models.
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Google introduces Gemma 3, a collection of lightweight open models (1B, 4B, 12B, 27B) designed to run on single GPUs or TPUs, featuring support for 140+ languages, 128k context window, and multimodal capabilities. The models outperform larger competitors like Llama 3 and DeepSeek-V3 while maintaining efficiency for on-device deployment.
@KanikaBK: Google just dropped an AI bomb! A BILLION DOLLARS Game is on. Gemma 4 12 B runs on your laptop. 16 GB of RAM, that is a…
Google released Gemma 4 12B, an open-source multimodal AI model under Apache 2.0 that runs locally on laptops with 16GB RAM, targeting enterprise edge deployment.
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Google DeepMind releases Gemma 4, a family of open-weights multimodal models featuring Multi-Token Prediction (MTP) for up to 2x decoding speedups, supporting text, image, video, and audio with enhanced reasoning and coding capabilities.