NervanaSystems/neon
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4340
- days_rel: n/a
- days_push: 2080
- n_releases_24m: 0
Adoption not part of the score
3861 stars · 804 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
neon was Intel Nervana's reference deep learning framework in Python, focused on best-in-class training performance on CPUs, GPUs, and Nervana hardware. Intel has officially discontinued the project and no longer accepts patches or provides support.
Use cases
- train convolutional neural networks fast on GPUs
- train deep learning models on CPUs with MKL acceleration
- build RNN, LSTM, and GRU models
- use pre-trained models from a model zoo
- write model code once and run on swappable hardware backends
When to choose
- studying the internals of a high-performance deep learning framework
- maintaining a legacy codebase already built on neon
- forking to independently develop a high-performance CPU/GPU training backend
When to avoid
- starting any new deep learning project
- needing bug fixes, updates, or community support
- wanting modern features like transformers or ecosystem integrations
Facets
library · maturity abandoned
deep-learning machine-learning gpu-computing deep-learning machine-learning gpu-computing python neural-networks mkl discontinued performance linux macos gpu
1 source
- readme: https://github.com/NervanaSystems/neon · fetched 2026-08-28 · 0aaf8e3e566d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NervanaSystems/neon | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="NervanaSystems/neon")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem