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DiffusionGemma 26B MoE model launch
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Google DeepMind released DiffusionGemma, a 26B mixture-of-experts open model that applies diffusion techniques to text generation, achieving up to 4x faster output by generating multiple words in parallel rather than sequentially. NVIDIA has optimized the model to run on GeForce RTX, RTX PRO, and DGX Spark systems.
- 26B mixture-of-experts open model from Google DeepMind
- Generates multiple words in parallel instead of one-at-a-time, enabling 4x faster text generation
- Optimized by NVIDIA for GeForce RTX, RTX PRO, and DGX Spark systems
- Applies diffusion techniques—traditionally used in image generation—to text output for low-latency inference
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Google DeepMind releases DiffusionGemma, a model that runs local AI 4x faster
Google AI Releases DiffusionGemma, a 26B MoE Open Model Using Text Diffusion for Up to 4x Faster Generation
DiffusionGemma: 4x faster text generation
NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI