Google Unveils Coral Board for Local AI and Edge Computing
…A major highlight of the launch was Google's demonstration of the Gemma 3 270M language model running locally on the Coral Board. By performing inference on-device, the system can continue…
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Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Live now
"Opus 4.8 thinks too much", "Muse Glimmer sits between Gemma and Qwen, that's boring", "Gemma 4 is too lazy"
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Videos
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Gemma Translator: offline DIY translation device built with Gemma 4 + Antigravity
Gemma 4 12B Demo: Native Audio Processing in Google AI Edge Eloquent
Bring the power of on-device AI to life with Google AI Edge and Gemma
Gemma 4 Hits 200M+ Downloads: 3 Amazing Local Builds
Building android apps with Gemma 4 for AI coding assistance
Google just casually disrupted the open-source AI narrative…
How to build on-device AI with Gemma 4
Build intelligent Android apps with Google's AI
Top 3 AI on Android updates for building intelligent experiences (Google I/O 2026)
Google Cloud Live: Accelerate data science and analytics with GPUs
Top stories
I thought I needed a GPU for local LLMs until I tried this lean model
…And then I came across Google’s recently released Gemma 4 models and decided to give it a shot via the LM Studio . Related 5 self-hosted LLMs I use for specific…
DiffusionGemma is Google's fastest AI yet, but it comes with a big trade-off
…Output quality is still inferior to Gemma 4, so it’s more of an experimental tool than a finished product. Google has released DiffusionGemma, an experimental AI model that takes a very…
NVIDIA Delivers Day-1 Support For DeepMind's DiffusionGemma Open Model Across RTX & DGX Platforms, 150 Tokens/s With DGX Spark
…Gemma 4: DiffusionGemma is built on Gemma 4, a 26-billion-parameter mixture-of-experts model that activates just 3.8 billion parameters per step, pairing a diffusion head with Google’s…
Discussions and forums
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
12
Gemma 4 for Telephony: From Two AI Models to One – Until I Switched to Chinese
Gemma 4 for Telephony: From Two AI Models to One – Until I Switched to Chinese
4
Show HN: Running Gemma-4 26B at 124 tokens/SEC on a CPU, no GPU
I wanted to know how fast a 26B mixture-of-experts model could run on a desktop CPU with no GPU. Got ~40 tok/s single-stream (lossless) and ~124 batched. The surprising part was the byte budget: for this model you compre…
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I solved Gemma 4's biggest problem by routing it through Claude, and all it took was a Python script
["google-gemma","claude","anthropic"]
I use Claude Pro, Qwen 3-Coder, and Gemma 4 together, and it's the most cost-efficient AI workflow I've ever built
["google-gemma","qwen3","claude"]
Gemini Intelligence and Gemini Nano 4 launch with Galaxy Z Fold 8, Flip 8
…Google’s latest on-device model is based on Gemma 4 . The Fold 8 and Fold 8 Ultra use the Snapdragon 8 Elite Gen 5 for Galaxy with 12 or 16 GB…
I replaced the expensive Gemini AI Pro subscription with these local models, and my productivity didn't drop a bit
["google-gemma","gemini","google","google-pixel"]
Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most
…Google's new Gemma 4 models don't eliminate that trade-off entirely, but it comes closer than anything else I've tried. What makes Gemma 4 different from previous open-weight…
Gemma Scope: helping the safety community shed light on the inner workings of language models
["google-gemma"]