Thanks — I see you’re asking about "livekit + nvidia." Do you want an overview of how LiveKit can work with NVIDIA tech, or help with a specific integration or use case? I can help with any of the following — please tell me which one you mean (or describe your goal): • Setting up NVIDIA Riva Text-to-Speech (TTS) with LiveKit Agents (Python only) — install, auth (API key or self-hosted Riva), and example config. • Setting up NVIDIA Riva Speech-to-Text (STT) with LiveKit Agents — model and language settings, self-hosted Riva URI. • Self-hosting Riva vs using NVIDIA cloud: differences in authentication and server config. • Deploying LiveKit on NVIDIA hardware (Jetson) or using NVIDIA GPUs (T4) for hardware-accelerated video encoding. • Integrating LiveKit voice/agent flows on embedded devices (ESP32) that call out to NVIDIA Riva in the cloud. • Troubleshooting a specific error or deployment step (please include logs, OS, LiveKit version, and whether you’re using Agents SDK or other SDKs). If you pick one, please share any relevant details (language, Python vs JS, self-hosted vs cloud Riva, LiveKit Agents vs regular SDK, and any errors you’re seeing). I’ll walk you through the exact steps. Sources: NVIDIA Riva TTS plugin guide | LiveKit Documentation | NVIDIA Riva STT plugin guide | LiveKit Documentation | Announcing LiveKit Cloud | Yeah, but can it run DOOM? | LiveKit SDK for ESP32: bringing voice AI to embedded devices