Did someone try or use VoxCPM? Here is the link: https://github.com/OpenBMB/VoxCPM

Tech Week East Approaches Cloudonix is hosting or cohosting a number of agentic voice related events in Boston and New York - the official Tech Week calendar will be out closer to the end of April Events in Tech Week Boston May 26 10:00 AM Agentic Voice Workshop https://partiful.com/e/Z49RTBQXINeOZOyCOjKI May 26 3:30 PM Agentic Voice AMA https://partiful.com/e/dqT8aqmCazCqPJiPoK6o (online) Events in Tech Week NYC Jun 1 10:00 AM Agentic Voice Workshop https://partiful.com/e/pxdWahJXi0EQklEuU50W Jun 1 1:00 PM Agentic Voice Hackathon https://partiful.com/e/E915u2aKmufVgYwg0Cdf Jun 2 3:30 PM Agentic Voice AMA https://partiful.com/e/EujnL6UKFFK3xvPiVUyp (online) We are affiliated with other events not related to agentic voice if anyone is interested

Hi everyone, As part of NY Tech Week we will be hosting an Agentic Voice hackathon and we are looking for anyone that can help with mentoring the teams as they build their agent. Please let me know if you are available or want more information. It will be the afternoon of June 1st Downtown.

I'm fairly new to this but when I paired a custom LLM with Pipecat the latency wasn't what I was expecting. After some research I came across Ultravox and latency is top notch. But using it for a project in EdTech may end up making the business model less feasible... Does anyone else have experience with Ultravox or a custom build that is handling latency better?

Want a REAL production-ready n8n deployment? In this video we break down the n8n-aiwithapex infrastructure stack and why it’s a massive upgrade over a “basic docker-compose n8n” setup. You’ll see how this project implements a full queue-mode architecture with: - n8n-main (Editor/API) separated from execution - Redis as the queue broker - Multiple n8n workers for horizontal scaling - External task runners (isolated JS/Python execution) for safer Code node workloads - PostgreSQL persistence with tuning + initialization - ngrok for quick secure access in WSL2/local dev We’ll also cover the “Ops” side that most tutorials ignore: - Comprehensive backups (Postgres + Redis + n8n exports + env backups) - Offsite sync + optional GPG encryption - Health checks, monitoring, queue depth, and log management scripts - Restore + disaster recovery testing so you can recover fast - Dual deployment paths: WSL2 for local + Coolify for cloud/production If you’re building automations for clients, running n8n for a team, or scaling AI workflows, this architecture is the blueprint: separation of concerns, isolation, scaling, and recoverability. Youtube video: https://youtu.be/HzgrId0kgfw?si=0bzdvDgJW4dLApfi Repo: https://github.com/moshehbenavraham/n8n-aiwithapex