October 22, 2025 – RISC-V North American Summit, Santa Clara. Ashling and Embecosm today announced robust ExecuTorch implementations optimised for resource-constrained devices, including RISC-V–based microcontrollers. The collaboration enables developers to deploy and run PyTorch-based AI models efficiently on bare-metal and embedded targets, bringing advanced AI inference to the edge.
PyTorch is an open-source framework developers use to build, train, and run AI models. Launched in 2016 by Meta with a very “Pythonic” API, it is popular because it is easy to read, quick to iterate, and powerful enough for innovative research and large-scale production. The ecosystem includes well-known libraries for vision and audio plus a vast community that contributes examples, pretrained models, and best practices.
ExecuTorch is a lightweight runtime that lets PyTorch models run on mobile and embedded systems, including bare-metal microcontrollers that lack the capacity to run a full operating system such as Android or Linux. Crucially for embedded and edge use cases, PyTorch supports exporting trained models into compact formats and lower-precision numeric types (e.g., INT8). That enables the ExecuTorch workflow: start with familiar PyTorch training, export the model, then run it at the edge using runtimes tailored to phones, microcontrollers, and custom silicon. Running AI at the edge—directly on the device close to the sensor or user—brings benefits including:
At Ashling and Embecosm, we deliver robust ExecuTorch implementations tailored to your device or microcontroller, including bare-metal deployments that run efficiently within your platform’s resource limits. If you are exploring ExecuTorch on constrained edge devices and would like to discuss further, book an engineer-to-engineer call with our AI experts to learn how we can help with your ExecuTorch and AI toolchain project needs. Email us at sales@ashling.com.
Ashling is a world leader in tools and solutions for embedded systems and the semiconductor industry. Focused on enabling software design for next-generation SoCs, MCUs, and AI accelerators, Ashling delivers advanced debugging tools, trace probes, and integrated development environments that accelerate product innovation and time-to-market. With a reputation built over four decades of engineering excellence, Ashling’s technologies and services empower developers to design, debug, and perfect complex embedded systems with confidence. Contact Ashling • info@ashling.com
Embecosm is a global leader in open-source compiler, AI toolchain, and custom hardware–software integration solutions for innovative designs. Renowned for its deep expertise in GNU GCC, Clang/LLVM, and AI toolchain technologies, Embecosm supports a wide range of processor architectures, including RISC-V, Arm, and other leading cores. Embecosm’s strengths in compiler and AI toolchain development complement Ashling’s embedded tools and services. Together, the companies have collaborated for more than eight years on global toolchain projects, serving customers from Tier-1 semiconductor leaders to stealth-mode start-ups, from offices in the US, India, UK, Ireland, France, and Germany. embecosm.com • info@embecosm.com