LiveHere – AI Videos, Self-Hosted Nvidia Cosmos on H200 GPUs
there is still time to submit - https://ship.builders/ build something cool, and i would love to catchup on the yacht - if you are in sf and coming.. ---- Yacht Hackathon by Composio, Nebius, Tavily - Product Demo Pitch: 30 seconds. That's all a renter gives a listing before they swipe away. LiveHere turns raw listing photos into a cinematic trailer that makes the deal in those 30s: location, neighborhood, vibe, price. Stack: NVIDIA Cosmos, self-deployed on @nebiusai H200 NVLink GPUs @tavilyai enriching the property with real neighborhood context @ship_builders @nvidia…
What it does
In the maker’s words, at launch
there is still time to submit - https://ship.builders/ build something cool, and i would love to catchup on the yacht - if you are in sf and coming.. ---- Yacht Hackathon by Composio, Nebius, Tavily - Product Demo Pitch: 30 seconds. That's all a renter gives a listing before they swipe away. LiveHere turns raw listing photos into a cinematic trailer that makes the deal in those 30s: location, neighborhood, vibe, price. Stack: NVIDIA Cosmos, self-deployed on @nebiusai H200 NVLink GPUs @tavilyai enriching the property with real neighborhood context @ship_builders @nvidia @composio @openclaw - Looking forward to expanding on this project on the the Yacht (SF is soooo amazing!!!!!)
Does the same job
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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