cuDNN Frontend
by NVIDIA
C++ / Python API for cuDNN — speeds up custom ASR kernels.
TL;DR
C++ / Python API for cuDNN — speeds up custom ASR kernels.
Best for fused attention + convolution ops in Conformer/Whisper engines. Pricing: free.
Category
Open source
License
—
Stars
—
Last push
—
Pricing
free
Platforms
Linux
What it is
A modern wrapper around the cuDNN library. MIT.
Best for: Fused attention + convolution ops in Conformer/Whisper engines.
Watch out for: Low-level; expect to read examples.
Watch out for: Low-level; expect to read examples.
Install / use
git clone https://github.com/NVIDIA/cudnn-frontend
Features
| Speaker diarization | No |
| Word-level timestamps | Yes |
| Streaming / real-time | No |
| Languages supported | 99 |
| HIPAA eligible | No |
cuDNN Frontend vs Whipscribe
| Feature | cuDNN Frontend | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free | free beta |
| Speaker diarization | No | Yes |
| Word timestamps | Yes | Yes |
| Streaming | No | No |
| Languages | 99 | 99 |
| Platforms | Linux | Web, API, MCP |
Alternatives to cuDNN Frontend
Whipscribe is a managed faster-whisper + whisperX service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.