~/talk

Deploying GenAI for Audio Generation on Mobile CPUs With ExecuTorch

Talkat PyTorch Conference 2025 · 2025-10-22..10-23· [machine-learning]
links:none on file
slides:none on file

ExecuTorch plus Clyde AI runs Stable Audio on Arm CPUs generating 11s stereo 44 kHz clips with local inference under 10s (about 7s on one core, <4s on four cores on SM2-enabled silicon) by using 8-bit PTQ for the diffusion steps and FP16 for the autoencoder to preserve quality. Runtime dynamic quantization adds under 10% overhead. Same code builds for mobile and Arm cloud instances, and SM2 vector instructions provide the large performance uplift demonstrated.

AI-written summary · about

  1. 0:00GenAI on mobile CPUs
  2. 1:06Performance testing before mobile
  3. 2:53Clyde AI ARM library
  4. 5:23Audio generation use cases
  5. 7:07Local vs cloud deployment
  6. 9:56Audio generation pipeline
  7. 12:03Dynamic quantization for diffusion
  8. 14:30Performance on mobile and cloud
  9. 16:22SME2 AI acceleration
  10. 19:38SME2 on ARM CPUs
  11. 21:26Key takeaways
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