Linaro Connect 2025
Talks
Ai machine learning
14th May
Global shifts and geopolitics in recent times have played a significant role in policy decisions. What do they mean for our globally collaborative worlds of AI and open source software? Amanda will take the audience on the journey of geopolitics and polic
CEO at OpenUK
Running AI workloads on ARM can be challenging due to the need for specialized hardware configurations, runtime optimizations, and dependency management. However, with the rise of tools like RamaLama, krunkit, libkrun, podman-machine, llama.cpp and vllm,
Principal Software Engineer at Red Hat
Senior Principal Software Engineer at Red Hat
KleidiAI is an optimization library designed to accelerate Machine Learning(ML) workloads for best-in-class performance on Arm CPUs. Since its inception in May 2024, it has experienced an eventful few months with integrations into multiple ML frameworks.
Principal Software Engineer at Arm Ltd
Generative AI (GenAI) is rapidly reshaping our daily life, and entire industries. Yet their increasing computational demands often hinder cost-effective deployment. This talk presents an end-to-end solution for accelerating GenAI workloads on Arm® Neover
Senior Software Engineer at ARM Ltd.
The evolution of on-device AI is transforming how developers build and deploy machine learning models, enabling real-time performance, enhanced privacy, and power-efficient execution. Windows on Snapdragon (WoS) provides a robust AI development ecosystem,
Staff Product Manager, Qualcomm at Qualcomm
In this talk, we will go through the use of readily available Large Language Models (LLMs) to facilitate engineering workflow when running Continuous Integration (CI) loops and analyzing regressions. For this presentation, Anthropic’s Claude Sonnet 3.5
Tech Lead - LLVM Compiler Development at Linaro
Staff Product Manager, Qualcomm at Qualcomm
15th May
Qualcomm is dedicated to shaping the future of computing through open-source innovation and community collaboration. In this keynote, we will delve into Qualcomm’s contributions to the Linux kernel, open-source AI frameworks, and edge computing, which a
SVP Engineering at Qualcomm
16th May
In this presentation, we explore the integration of Arm's Ethos-U NPUs with Executorch to enable efficient edge AI solutions. We leverage the TOSA (Tensor Operator Set Architecture) framework to optimize neural network operations, ensuring seamless compat
Software Engineer at Arm