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- Introducing Gemma 3: A Powerful AI Model for Single GPUs & TPUs
Introducing Gemma 3: A Powerful AI Model for Single GPUs & TPUs
Gemma 3 is fast, smart, and supports 140+ languages. It runs efficiently on phones, laptops, and GPUs, making AI more accessible to all.
Meet Gemma 3: A Faster, Smarter AI Model
Gemma 3 has been introduced as the most advanced open AI model, designed for speed and efficiency. It has been optimized to run smoothly on devices such as phones, laptops, and workstations. AI applications can now be built anywhere without the need for expensive hardware.

What Makes Gemma 3 Special?
High Performance – Gemma 3 has been tested against top models like Llama-405B and DeepSeek-V3 and has been found to outperform them. It is capable of running efficiently on a single GPU or TPU.
Support for 140+ Languages – AI applications can be created in multiple languages with ease.
Text & Image Processing – The model has been designed to process text, images, and short videos.
Handling Large Data – A 128k-token context window has been provided to process vast amounts of information.
Enhanced AI Workflows – Function calling has been incorporated to enable automation and better AI interactions.
Optimized Speed – Official quantized versions have been released to enhance speed while maintaining accuracy.
Ensuring AI Safety with ShieldGemma 2
To prioritize AI safety, ShieldGemma 2 has been developed. This tool has been designed to scan AI-generated images and detect unsafe content. It is aimed at assisting developers in building responsible AI applications.
Simplified Development & Deployment
Gemma 3 has been made compatible with widely used AI tools, including Hugging Face, JAX, PyTorch, and Google AI Studio. Developers can:
Begin building AI models within seconds.
Customize Gemma 3 according to specific requirements.
Deploy models across multiple platforms, including Google Cloud, Vertex AI, and NVIDIA GPUs.
Joining the Gemmaverse
A growing community of AI developers and researchers has been formed under the Gemmaverse. As part of this initiative, a special academic program has been introduced, offering $10,000 in Google Cloud credits to support AI research. Applications have been opened, and interested individuals are encouraged to apply on the official website.
📌Source : Google Blog