Build, Accelerate and Deploy AI Workloads on Arm

Browse a collection of LLMs, SLMs, and Computer Vision models on Hugging Face that run on Arm-based devices and cloud instances. Perform a variety of ML and generative AI tasks from text generation to sentiment analysis, and beyond.

Arm and Stability AI have partnered to deliver and accelerate text-to-audio generative AI models directly on smartphones. Leveraging Arm KleidiAI libraries and Stability AI’s technology, Stable Audio Open can now run 30x faster on Arm-based mobile devices.

Small language models (SLMs) running on Arm CPUs are becoming a game-changer for enterprise AI. Learn how Arm and Arcee AI enable right-sized models to dramatically improve your AI performance while reducing costs.

Accelerate cloud-to-edge AI development on Arm with the new Arm extension for GitHub Copilot, native Arm GitHub runners, and GitHub Actions—enabling seamless, efficient ML workflows.

Arm and the PyTorch Foundation are democratizing AI innovation for developers by enabling them to seamlessly integrate the newest quantized models into their applications—with no additional modifications or optimizations—saving time and resources.

Milos Puzovic heads teams in Arm who are accelerating machine learning (ML) frameworks such as PyTorch and ExecuTorch across various Arm IP such as Neoverse and Ethos-U. on AArch64. He is also interested in optimizing various applications through hardware and software co-design using ML.

Gian Marco is a tech lead in the ML Group at Arm and author of the TinyML Cookbook. He looks after the SW performance optimizations on Mali GPUs.

Zach helps developers do their best work on Arm and is a thought-leader in Responsible AI. He teaches developers in startups and large companies how to build AI-based products that minimize unintended consequences on their business, users, and society.