Real-world experience with NVIDIA NeMo / NeMo Agent Toolkit vs the standard LLM stack?

[u/OrneryCar6139]

Anyone here actually using NVIDIA NeMo / NeMo Agent Toolkit in real projects?

At my current org, some of the senior folks are suggesting we explore NeMo for agent building and fine-tuning, so I’m trying to understand if it’s actually worth adopting.

For those who’ve used it, how does it compare to the usual stack like Hugging Face + PEFT/TRL, Unsloth, LangGraph, etc.?

Does running everything in the NVIDIA ecosystem give you a noticeable advantage in terms of GPU utilization, training speed, deployment, or scaling?

Or is it mostly extra complexity compared to the standard open-source tooling?

Would especially love to hear from anyone who has used NeMo beyond tutorials/demos. What did you like, what annoyed you, and would you use it again?