Maker 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
… Gemma 4 E4B, ~200ms cached TTFT, 30+ sensors, no WiFi/BT/cellular. …
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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
… Gemma 4 E4B, ~200ms cached TTFT, 30+ sensors, no WiFi/BT/cellular. …
… Running Google 's gemma4: e4b, the V100 topped out at 108 tokens per second, while the 3060 12 GB only managed about 76 tokens per second, but it did so consuming less power — 293W on the V100 versus 235W on the RTX 3060. …
… Apple warns Mac mini and Mac Studio shortages could last for months — local AI boom and memory crunch drive demand beyond Apple’s manufacturing capacity Tech teardown specialist delids a Xeon with a blowtorch and hunting knife — wood chopping block makes a worthy stage for the sacrifice Redditor ga…