Fast-Float pushes FLOAT avatar inference to 90 FPS on a free T4, 105 FPS with TensorRT
SavingsWeather1659 · reddit · 2026-10-29
Developer mohamed-em2m released Fast-Float, an open-source realtime avatar generation server focused on squeezing maximum FLOAT inference performance out of a single GPU.
Key points:
- From 30 FPS to 90 FPS on a free Colab T4, up to 105 FPS with TensorRT acceleration
- LiveKit and WebRTC integration for realtime voice agents; easy hookup to providers like OpenAI and Gemini
- Roughly 3 GB of VRAM per concurrent user
- Demo screenshot shows the FLOAT Studio UI running a realtime avatar call with a Messi likeness
Related event: Open-Source Fast-Float Pushes Talking Avatar Inference to 90 FPS on a T4(2 posts)→
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