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7-8 April, 2025
Paris, France
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Note: The schedule is subject to change.

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Tuesday April 7, 2026 11:45 - 11:55 CEST


ExecuTorch extends PyTorch's reach to the most resource-constrained devices: microcontrollers, DSPs, and specialized neural processing units powering always-on sensors, wearables, and embedded systems. In this talk, we'll share the current state and roadmap for running ExecuTorch on platforms where every kilobyte of memory and milliwatt of power matters.

What you'll learn:
- How ExecuTorch's design enables deployment from ultra-low-power MCUs to DSP and NPU accelerators, all from a single PyTorch workflow
- The state of backend support for Cadence DSPs, ARM Ethos-U and Cortex-M
- Practical considerations for deploying models with sub-megabyte footprints and milliwatt power budgets
- Case studies spanning always-on audio, embedded vision, and TinyML applications
Speakers
avatar for Matthias Cremon

Matthias Cremon

Software Engineering Manager, Meta
Matthias Cremon is a Software Engineering Manager at Meta in the Silicon AI Software Team, working on AI compilers for various edge devices. He focuses on the frontend, graph level optimization side, as well as the integration of low-level, vendor specific implementations to run on... Read More →
avatar for RJ Ascani

RJ Ascani

Software Engineer, Meta
RJ Ascani is an embedded software engineer on Meta’s PyTorch Edge team, focusing on advancing ExecuTorch for microcontroller platforms.
Tuesday April 7, 2026 11:45 - 11:55 CEST
Central Room
  Inference & Production
  • Audience Level Any
  • Slides Attached Yes

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