Whisper JAX

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Optimised implementation of the Whisper model0
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What is Whisper JAX?

Whisper JAX is an optimised implementation of the Whisper model by OpenAI. It runs on JAX with a TPU v4-8 in the backend. Compared to PyTorch on an A100 GPU, it is over 70x faster, making it the fastest Whisper API available.

Key features and advantages include:

Fast performance: Over 70x faster than PyTorch on an A100 GPU

Optimized implementation: Built on JAX with a TPU v4-8 for maximum efficiency

Accurate transcription: Provides accurate transcription of audio files

Progress bar: Displays progress of transcription through a progress bar

Create your own inference endpoint: To skip the queue, users can create their own inference endpoint using the Whisper JAX repository.

  • Whisper JAX

More information on Whisper JAX

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Tech used
Amazon AWS CloudFront,cdnjs,Google Fonts,KaTeX,Gzip,OpenGraph,RSS,Stripe
Whisper JAX was manually vetted by our editorial team and was first featured on September 4th 2023.

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