GTC 2026 Archives
…Built on Google’s Gemini research, Gemma 3 is a versatile workhorse for Jetson. It is multimodal out of the box, which means it can see and talk in over 140 languages…
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Tracked topic
Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Videos
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Top stories
Coralboard features Synaptics Astra SL2619 Edge AI SoC, supports Google Gemma 3 inference - CNX Software
1w agoGoogle's excellent offline AI app just got even better with three big features
1w agoNVIDIA and Google Cloud Empower the Next Wave of AI Builders
1w agoMaker packs an opinionated, googly-eyed AI chatbot into a mobile suitcase, powered by an Nvidia Jetson — entirely local machine entity runs Gemma 4 E4B and can respond in 200ms
1w agoNVIDIA Cosmos Archives
…Built on Google’s Gemini research, Gemma 3 is a versatile workhorse for Jetson. It is multimodal out of the box, which means it can see and talk in over 140 languages…
NVIDIA Jetson Archives
…Built on Google’s Gemini research, Gemma 3 is a versatile workhorse for Jetson. It is multimodal out of the box, which means it can see and talk in over 140 languages…
NVIDIA Nemotron Archives
…Built on Google’s Gemini research, Gemma 3 is a versatile workhorse for Jetson. It is multimodal out of the box, which means it can see and talk in over 140 languages…
Discussions and forums
NVIDIA Isaac GR00T Archives
…Built on Google’s Gemini research, Gemma 3 is a versatile workhorse for Jetson. It is multimodal out of the box, which means it can see and talk in over 140 languages…
I ditched Claude, ChatGPT, NotebookLM, and Perplexity for these free open-source tools
["claude","ollama","chatgpt","gemini","anthropic","google-gemma"]
Robotics Archives
…Built on Google’s Gemini research, Gemma 3 is a versatile workhorse for Jetson. It is multimodal out of the box, which means it can see and talk in over 140 languages…
Updating Classifier Evasion for Vision Language Models | NVIDIA Technical Blog
["google-gemma","llms","nvidia"]
I use Claude and local LLMs together now, and it costs half as much while being twice as fast
…For the local side of this pipeline, I went with Google's Gemma 4 26B model . It is highly capable, runs comfortably on my RTX 4070 Ti Super (notably, without the overhead…
I ran this bulky LLM on an SBC cluster, and it's the most unhinged setup I've ever built
["llms","google-gemma"]