# RTNeural: Fast Neural Inferencing for Real-Time Systems

arXiv: https://arxiv.org/abs/2106.03037 · HTML: https://mlsanity.com/paper/2106.03037/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Jun 2021.

## Built on by (most cited first, 2 of 2)

- [Designing Neural Synthesizers for Low-Latency Interaction](https://mlsanity.com/paper/2503.11562/) (2025)
- [ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications](https://mlsanity.com/paper/2506.12665/) (2025)

## Abstract (arXiv)

RTNeural is a neural inferencing library written in C++. RTNeural is designed to be used in systems with hard real-time constraints, with additional emphasis on speed, flexibility, size, and convenience. The motivation and design of the library are described, as well as real-world use-cases, and performance comparisons with other neural inferencing libraries.