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Gemma 4 — AI News Today

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Google DeepMind's most capable open model family. Available in 4 sizes (E2B, E4B, 26B MoE, 31B Dense) with advanced reasoning, agentic workflows, vision, audio, 256K context, 140+ languages. Apache 2.0 license. Runs on devices from phones to H100 GPUs.

blog.google/innovation-and-ai/technology/developers-tools/gemma-4
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287 stories about Gemma 4

9 from your feeds28 from search

About Gemma 4

Gemma 4 is a multimodal AI model by Google. Google DeepMind's most capable open model family. Available in 4 sizes (E2B, E4B, 26B MoE, 31B Dense) with advanced reasoning, agentic workflows, vision, audio, 256K context, 140+ languages. Apache 2.0 license. Runs on devices from phones to H100 GPUs. This page tracks 287 recent news stories about Gemma 4, curated from 30+ sources and updated every 15 minutes.

Gemma 4 — Coverage Momentum

14
This month
↓71%
vs last month
542
All-time
Apr 2026
Peak month
14
251
84
118
48
14
MarAprMayJunJulAug

First tracked Feb 2024. Most-citing sources: r/LocalLLaMA (251), Medium (124), Towards AI (42), r/artificial (13). Data aggregated by Best AI News Today from 30+ sources.

287 stories
1 of 5 Top Stories
Media

Building and Serving vLLM with Rust

This tutorial walks through deploying vLLM and some of the key Rust tools used for building and deployment. Continue reading on Rustaceans »

Medium · xbill faviconMedium · xbill·
Mistral Small 24B Collapses at 63K Context. Gemma 4 Is Bigger and Hits 135K.
Media

Mistral Small 24B Collapses at 63K Context. Gemma 4 Is Bigger and Hits 135K.

by Chew Loong Nian - AI ENGINEER — I put four open-weight models on the same imaginary 24 GB card and asked one question: how much context can you actually hold?

Towards AI faviconTowards AI·
Media

Google Toolkit Brings Local AI To Raspberry Pi 5

Google’s LiteRT toolkit lets a Raspberry Pi 5 run compact Gemma language and vision models locally, without sending inference to a cloud service.

Electronics For You faviconElectronics For You·
Media

Building a Local, Multimodal AI Terminal Agent with Gemma 4

Introduction Continue reading on Google Developer Experts »

Medium · Arjun Prabhulal faviconMedium · Arjun Prabhulal·
RelatedGoogle
Discussions

HyperSAE: Decoupled Poincaré Geometry for Sparse Autoencoders -- 9.8% MSE reduction, 0.2% dead latents on Gemma-2-2B [P]

I built HyperSAE, a PyTorch library that applies Poincaré hyperbolic geometry to Sparse Autoencoders for mechanistic interpretability. GitHub: https://github.com/vishal-dehurdle/hypersae Paper:...

r/MachineLearning faviconr/MachineLearning·
Serving Gemma 4 E2B on a TPU v6e-1
Media

Serving Gemma 4 E2B on a TPU v6e-1

A Cloud TPU v6e-1 (Trillium) costs 2.25× a v5e-1 and returns 1.62–1.68× the throughput on workloads that fit in a v5e, and 2.32–2.77× on… Continue reading on Medium »

Medium · xbill faviconMedium · xbill·
Mastering Edge AI on Raspberry Pi with LiteRT and Gemma
Media

Mastering Edge AI on Raspberry Pi with LiteRT and Gemma

blog.google faviconblog.google·
RelatedGoogle

4 sources

blog.google faviconblog.googleThe Next Web faviconThe Next Web
Google Gemma Translator Runs Offline on a Raspberry Pi 5
Media

Google Gemma Translator Runs Offline on a Raspberry Pi 5

Tech My Money faviconTech My Money·
RelatedGoogle

3 sources

Tech My Money faviconTech My Moneythenextweb.com faviconthenextweb.com
Media

I built a private AI study assistant that runs entirely on my laptop

XDA faviconXDA·
Media

According to information from Google I/O Shanghai, downloads of the Google Gemma 4 model have surpassed 300 million. In April this year, Google released the Gemma 4 series models, designed specifically for advanced reasoning and agentic workflows. (

Bitget faviconBitget·
RelatedGoogle
I built a weird, low-power llama.cpp server using an Intel N100 + RTX 5060Ti
Discussions

I built a weird, low-power llama.cpp server using an Intel N100 + RTX 5060Ti

Everything started with the sudden death of my old ASRock J1900. While looking for the perfect ITX replacement, I stumbled upon the Chinese CW-NAS-ADLN-K motherboard, which looked perfect on paper:...

r/LocalLLaMA faviconr/LocalLLaMA·
I Built an App with Gemma to Decode Why Nobody Laughed at Your Joke
Media

I Built an App with Gemma to Decode Why Nobody Laughed at Your Joke

by Ven — We stopped asking a model what’s funny and started asking it to explain a room.

Towards AI faviconTowards AI·
RelatedGoogle
Media

Running Gemma 4 on EC2 G5g: Graviton2 ARM with NVIDIA GPU

#aws #graviton #vllm #gemma #cuda Continue reading on AWS in Plain English »

Medium · xbill faviconMedium · xbill·
Stop Paying for AI You Can Run for Free on Your Laptop
Media

Stop Paying for AI You Can Run for Free on Your Laptop

by Infinity — GitHub Repos to Run Models like Kimi-K3 and Gemma Locally!

Medium faviconMedium·
Media

Building Multimodal Workflows with a Local LLM

by Shuai Guo — Image inputs and structured outputs with Gemma 4 and Ollama The post Building Multimodal Workflows with a Local LLM appeared first on Towards Data Science.

Towards Data Science faviconTowards Data Science·
Media

The Unofficial TPU migration guide: Cloud TPU API to Compute Engine

Troubleshooting Tips and Tricks for migrating TPU workloads from the TPU API to GCE. Continue reading on Google Cloud - Community »

Medium · xbill faviconMedium · xbill·
Discussions

1 Day in and I feel okay saying Muse-Glimmer-30B finally beats 3.6-27B for the size in some use-cases

A few things right off the bat: it reasons very efficiently. Like Grok 4.5 levels of efficient thinking it quantizes very well. My first few tests with iq3_xxs were better than Qwen/Gemma behaved at...

r/LocalLLaMA faviconr/LocalLLaMA·
Media

How to Deploy and Personalize Gemma 4 on Agent Platform

Stand up an open Gemma 4 model as your own private endpoint, then make it yours with RAG and fine-tuning: a practical, end-to-end guide. Continue reading on Google Cloud - Community »

Medium · Reut Ginat Eliash faviconMedium · Reut Ginat Eliash·

Frequently Asked Questions

What is Gemma 4?

Gemma 4 is Google DeepMind's most capable open model family. Available in 4 sizes (E2B, E4B, 26B MoE, 31B Dense) with advanced reasoning, agentic workflows, vision, audio, 256K context, 140+ languages. Apache 2.0 license. Runs on devices from phones to H100 GPUs.

Where can I access Gemma 4?

Gemma 4 is available at https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/. It's developed by Google.

What is the latest news about Gemma 4?

As of today, there are 287 recent stories about Gemma 4. Recent headlines include: Building and Serving vLLM with Rust; Mastering Edge AI on Raspberry Pi with LiteRT and Gemma; Running Gemma 4 on EC2 G5g: Graviton2 ARM with NVIDIA GPU. Updated every 15 minutes.

What other Multimodal AI models are there?

Gemma 4 is part of the Multimodal model category. Browse all comparable AI multimodal models with live news mentions and benchmarks.