DiffusionDiffusionData
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DiffusionGemmaGoogle
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Related Products
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About
Diffusion is a pioneer in real-time data streaming and messaging solutions. Founded to solve the real-time systems & application connectivity and data distribution challenges experienced by companies worldwide, the company has an international team of business and technology experts. The company’s flagship offering, the Diffusion data platform, makes it easy to consume, enrich, and deliver data reliably. Quickly capitalize on existing or new data sources. Purpose-built to simplify event-driven, real-time application development, Diffusion enables you to swiftly add new capabilities with minimal development costs. Accommodates any size, format, or velocity of data. Provides a flexible, hierarchical data model to organize incoming event-data in a multi-level topic tree structure. Easily scalable to millions of topics. Facilitates transformation of event data using low-code features of the platform. Enables subscription to event-data at a fine-grained level for hyper-personalization.
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About
DiffusionGemma is an experimental open model that explores text diffusion, an exceptionally fast approach to text generation. Released under an Apache 2.0 license, this 26B Mixture of Experts (MoE) model moves beyond the sequential token-by-token processing of typical autoregressive Large Language Models (LLMs). Instead, it generates entire blocks of text simultaneously, delivering up to 4x faster text generation on GPUs. Built on the intelligence-per-parameter of the Gemma 4 family and Gemini Diffusion research, DiffusionGemma integrates a novel diffusion head designed to maximize generation speed. It is designed for researchers and developers exploring speed-critical, interactive local workflows such as in-line editing, rapid iteration, and non-linear text structures. By shifting the decode bottleneck from memory bandwidth to compute, it can generate more than 1,000 tokens per second on a single NVIDIA H100 and more than 700 tokens per second on an NVIDIA GeForce RTX 5090.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Businesses looking for a solution to manage their real-time data streaming and messaging operations
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Audience
Researchers and developers wanting to explore fast local text generation for interactive AI applications, rapid iteration, editing, and other latency-sensitive workflows
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$199 per month
Free Version
Not Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDiffusionData
Founded: 2006
United Kingdom
www.diffusiondata.com
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Company InformationGoogle
Founded: 1998
United States
blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
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Categories |
Categories |
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Integrations
.NET
Supported
AWS PrivateLink
Supported
Android
Supported
Apache Kafka
Supported
Apple iOS
Supported
C#
Supported
Gemini Enterprise Agent Platform
Not Supported
Gemma
Not Supported
JMS
Supported
Java
Supported
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Integrations
.NET
Not Supported
AWS PrivateLink
Not Supported
Android
Not Supported
Apache Kafka
Not Supported
Apple iOS
Not Supported
C#
Not Supported
Gemini Enterprise Agent Platform
Supported
Gemma
Supported
JMS
Not Supported
Java
Not Supported
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