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Description
DiffusionGemma is an innovative open model that investigates text diffusion, representing a remarkably rapid method for generating text. Released under the Apache 2.0 license, this 26 billion parameter Mixture of Experts (MoE) model advances beyond the usual sequential token generation typical of autoregressive models. Instead, it produces entire blocks of text at once, achieving text generation speeds that are up to four times faster on GPUs. Drawing from the parameter efficiency of the Gemma 4 family and Gemini Diffusion research, DiffusionGemma incorporates a unique diffusion head that enhances generation speed significantly. It is particularly aimed at researchers and developers looking to optimize speed-sensitive, interactive local workflows, including in-line editing, swift iterations, and non-linear narrative forms. By reallocating the decode bottleneck from memory bandwidth to computational power, it can produce over 1,000 tokens per second on a single NVIDIA H100 and more than 700 tokens per second on an NVIDIA GeForce RTX 5090. This breakthrough allows for a new level of efficiency in text generation that could reshape various applications in natural language processing.
Description
Gemma 4 is an advanced AI model developed by Google as part of its Gemini architecture, designed to deliver strong performance while remaining accessible to developers. The model is optimized to run on a single GPU or TPU, allowing more organizations and researchers to experiment with powerful AI technology. Gemma 4 improves natural language understanding and generation, making it suitable for applications such as chatbots, text analysis, and automated content creation. Its architecture enables the model to process complex language patterns while maintaining efficient computational performance. Developers can integrate Gemma 4 into various AI projects that require intelligent text processing or conversational capabilities. The model is designed with scalability in mind, allowing it to support both research experiments and production systems. By offering high-performance AI in a more accessible format, Gemma 4 lowers the barrier for developing sophisticated AI solutions. Its flexibility makes it useful for industries ranging from technology and education to business automation. Researchers can also use the model to explore new AI techniques and improve language processing systems. Overall, Gemma 4 represents a step forward in making powerful AI models easier to deploy and use.
API Access
Has API
API Access
Has API
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Integrations
Gemini Enterprise Agent Platform
AiAssistWorks
C
C#
C++
EmbeddingGemma
F#
Google AI Studio
Google Colab
HTML
Integrations
Gemini Enterprise Agent Platform
AiAssistWorks
C
C#
C++
EmbeddingGemma
F#
Google AI Studio
Google Colab
HTML
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
deepmind.google/models/gemma/