Media Summary: At PyTorch Conference 2025, Gian Marco Iodice, Principal Software Engineer at Arm, demonstrates an on-device generative ... See the detailed reference architecture → Learn how to use JAX, Google Kubernetes Engine (GKE) and ... In this presentation, we explore the integration of Arm's Ethos-U NPUs with

Executorch For Offline Ai Inference - Detailed Analysis & Overview

At PyTorch Conference 2025, Gian Marco Iodice, Principal Software Engineer at Arm, demonstrates an on-device generative ... See the detailed reference architecture → Learn how to use JAX, Google Kubernetes Engine (GKE) and ... In this presentation, we explore the integration of Arm's Ethos-U NPUs with

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Executorch for Offline AI Inference
AI Inference: The Secret to AI's Superpowers
ExecuTorch 1.0: General Availability Status for Mobile and Embedded...- Mergen Nachin & Cemal Bilgin
On-Device LLM Inference on Android With ExecuTorch and Qualcomm QNN - Shivay Lamba & Kartikey Rawat
Bringing ExecuTorch To the Next Frontiers of Edge AI - Mergen Nachin, Meta
Introducing ExecuTorch from PyTorch Edge: On-Device AI... - Mergen Nachin & Orion Reblitz-Richardson
On-Device Audio Generation with ExecuTorch + Stability AI | Arm Demo at PyTorch Conference 2025
Why Inference is hard..
Executorch: Enabling and Accelerating PyTorch Models on Edge Devices - Chen Lai, Meta
The secret to cost-efficient AI inference
Faster LLMs: Accelerate Inference with Speculative Decoding
LIS25 321 Optimizing Edge AI with Executorch and Ethos U
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Executorch for Offline AI Inference

Executorch for Offline AI Inference

How

AI Inference: The Secret to AI's Superpowers

AI Inference: The Secret to AI's Superpowers

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ExecuTorch 1.0: General Availability Status for Mobile and Embedded...- Mergen Nachin & Cemal Bilgin

ExecuTorch 1.0: General Availability Status for Mobile and Embedded...- Mergen Nachin & Cemal Bilgin

ExecuTorch

On-Device LLM Inference on Android With ExecuTorch and Qualcomm QNN - Shivay Lamba & Kartikey Rawat

On-Device LLM Inference on Android With ExecuTorch and Qualcomm QNN - Shivay Lamba & Kartikey Rawat

On-Device LLM

Bringing ExecuTorch To the Next Frontiers of Edge AI - Mergen Nachin, Meta

Bringing ExecuTorch To the Next Frontiers of Edge AI - Mergen Nachin, Meta

Bringing

Introducing ExecuTorch from PyTorch Edge: On-Device AI... - Mergen Nachin & Orion Reblitz-Richardson

Introducing ExecuTorch from PyTorch Edge: On-Device AI... - Mergen Nachin & Orion Reblitz-Richardson

Introducing

On-Device Audio Generation with ExecuTorch + Stability AI | Arm Demo at PyTorch Conference 2025

On-Device Audio Generation with ExecuTorch + Stability AI | Arm Demo at PyTorch Conference 2025

At PyTorch Conference 2025, Gian Marco Iodice, Principal Software Engineer at Arm, demonstrates an on-device generative ...

Why Inference is hard..

Why Inference is hard..

Follow me: X: https://x.com/calebfoundry LinkedIn: https://www.linkedin.com/in/calebeom/ TikTok: ...

Executorch: Enabling and Accelerating PyTorch Models on Edge Devices - Chen Lai, Meta

Executorch: Enabling and Accelerating PyTorch Models on Edge Devices - Chen Lai, Meta

Executorch

The secret to cost-efficient AI inference

The secret to cost-efficient AI inference

See the detailed reference architecture → https://goo.gle/4bKh5aR Learn how to use JAX, Google Kubernetes Engine (GKE) and ...

Faster LLMs: Accelerate Inference with Speculative Decoding

Faster LLMs: Accelerate Inference with Speculative Decoding

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LIS25 321 Optimizing Edge AI with Executorch and Ethos U

LIS25 321 Optimizing Edge AI with Executorch and Ethos U

In this presentation, we explore the integration of Arm's Ethos-U NPUs with

Lightning Talk: Running ExecuTorch Applications With Silicon Accelera... George Gekov & Aki Makkonen

Lightning Talk: Running ExecuTorch Applications With Silicon Accelera... George Gekov & Aki Makkonen

Lightning Talk: Running