# NVlabs/tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

Repository: https://github.com/NVlabs/tiny-cuda-nn
Canonical: https://ross.abutalabs.com/products/tiny-cuda-nn
Language: C++
License: NOASSERTION
License Family: other
Topics: neural-network, deep-learning, gpu, cuda, mlp, nerf, rendering, real-time, pytorch
Last push: 2026-04-21T11:57:48+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 8, longevity 100
- inputs: {"age_days": 1965, "days_push": 134, "days_rel": 421, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4528, forks 578 (observed 2026-08-28T04:08:52.928087+00:00)

## What it is
A small, self-contained C++/CUDA framework for training and querying neural networks, featuring a lightning-fast fully fused MLP and a versatile multiresolution hash encoding. It also provides PyTorch bindings and supports various input encodings, losses, and optimizers.

## Use cases
- train tiny MLPs at maximum GPU speed
- implement NeRF-style neural rendering
- use multiresolution hash encoding for fast signal fitting
- accelerate neural network inference in real-time graphics
- integrate fast neural networks into PyTorch pipelines

## When to choose
- you need extremely fast training or inference of small MLPs on NVIDIA GPUs
- you are building NeRF or instant-NGP-style neural rendering systems
- you want a lightweight C++/CUDA neural network library with PyTorch bindings

## When to avoid
- you need large-scale deep learning models like transformers
- you lack an NVIDIA CUDA-capable GPU
- you need a general-purpose framework with broad ecosystem support like PyTorch or TensorFlow

## Facets
- artifact type: library
- maturity: active
- function: deep-learning, machine-learning, graphics, gpu-computing
- domain: deep-learning, machine-learning, graphics, computer-vision
- platform: cpp, python, windows
- tags: cuda, fully-fused-mlp, hash-encoding, nerf, neural-networks, pytorch-bindings, real-time-training, gpu, linux

## Member repositories
- NVlabs/tiny-cuda-nn (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:52.928087+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:14.235993+00:00, confidence not recorded.
  - readme: https://github.com/NVlabs/tiny-cuda-nn (fetched 2026-08-28T04:08:52.928087+00:00, sha 42eec0712299)
- Data as of 2026-08-30T08:39:29.467469+00:00.